A safety analysis method for tubeless treatment after upper urinary tract stone surgery

Abstract

The present invention relates to a safety analysis method for tubeless treatment after upper urinary tract calculi surgery, and belongs to the field of medical care information. The method comprises: performing a set number of learnings on a radial basis neural network to obtain a safety analysis model; using the safety analysis model to intelligently analyze multiple tubeless treatment prognosis data of the target patient after the current upper urinary tract calculi surgery based on the stone position and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the current upper urinary tract calculi surgery of the target patient; the present invention aims at the technical problem that the prognosis data of tubeless treatment of upper urinary tract calculi surgery is difficult to accurately predict, which leads to the difficulty in customizing the postoperative medical care strategy. By introducing a safety analysis model with a customized structure, the multiple tubeless treatment prognosis data of the target patient after the current upper urinary tract calculi surgery are intelligently analyzed based on the basic information of the target patient selected item by item, thereby solving the above technical problem.

Description

Technical Field

[0001] The present invention relates to the field of medical care information, namely, to information and communication technology specially used for handling or processing medical or health data, and in particular to a safety analysis method for tubeless treatment after upper urinary tract stone surgery. Background Art

[0002] Treatments for upper urinary tract stones include extracorporeal shock wave lithotripsy, non-open surgical treatment, and open surgical treatment. The appropriate method should be selected in a timely manner according to the patient's condition to avoid affecting health. The specific treatment methods are as follows:

[0003] 1. Extracorporeal shock wave lithotripsy: It is suitable for kidney and ureteral stones with a diameter of less than 2 cm. However, it is not suitable for patients with heart disease, systemic hemorrhagic disease, organic obstructive lesions in the urinary tract below the stones, and acute urinary tract infection.

[0004] 2. Non-open surgical treatment: including percutaneous nephrolithotomy or lithotripsy, ureteronephrolithotomy or lithotripsy, ureteroscopic flexible ureteroscopy or lithotripsy, and laparoscopic ureteroscopic and pyeloscopic lithotripsy.

[0005] 3. Open surgery: includes simple pyelolithotomy or intra-renal sinus pyelolithotomy, combined pyelolithotomy and renal parenchyma lithotomy, non-atrophic renal parenchyma lithotomy and radial renal parenchyma lithotomy, etc.

[0006] When choosing a treatment method, it is necessary to comprehensively consider factors such as the location, size and number of stones, the degree of urinary tract obstruction caused by stones, and renal function. After upper urinary tract stone surgery, tubeless treatment can improve the patient's quality of life and recovery speed. At the same time, it will also have an adverse effect on the patient's stone surgery effect and the elimination of postoperative risks.

[0007] For example, the Chinese invention patent publication CN101889887A proposes an intracavitary lithotripsy device for treating upper urinary tract stones, which includes an electric hammer mainframe, a drill probe, a protective outer sheath, a protective sheath handle, and an endoscope. The electric hammer mainframe is connected and fixed to the tail end of the drill probe through the screw of the front interface, and the rear end of the protective sheath is inserted between the drill probe through a sliding shaft to ensure a constant distance gap between the protective outer sheath and the drill probe; the handle at the end of the drill probe is fixed to the electric hammer switch through a slot, and the fixing device is inserted into the nephroscope body, and its tail elastic handle is fixed to the front end of the water inlet through a slot, extending out of the jaws of the stone fixing device, forming a slot with the front end of the nephroscope, and the drill probe and the protective sheath of the lithotripsy device are placed outside the operating channel of the nephroscope. The device has a simple structure, is easy to use, and can crush stones efficiently, which significantly shortens the operation time, reduces the incidence of perioperative complications, and can crush and remove large and hard complex stones in one stage.

[0008] For example, the Chinese invention patent publication CN118121266A proposes an upper urinary tract stone crushing and stone removal device and a method of using the same, the device comprising an incomplete retracting mechanism, a rubber stopper and a bullet-shaped sleeve, the incomplete retracting mechanism comprising a thin tube, a thick tube, a transfer tube and a ureteroscope. The front end outer wall of the ureteroscope is provided with a shallow thread, the rubber stopper is provided at the opening of the thick tube, and the inner wall of the bullet-shaped sleeve is provided with an internal thread that matches the shallow thread. The present invention reserves the thin tube and the thick tube in the ureter and the bladder urethra respectively, and the path of stone sheathing or stone fragments flushing out during the operation is significantly shortened. It is only necessary to sheath or flush the stone fragments from the renal pelvis / ureter to the vicinity of the ureteral orifice in the bladder (i.e., the thick tube). The operating tube diameter is significantly increased here, and the stone fragments are immediately flushed and sucked out. The ureteroscope can continue to enter the ureter and renal pelvis to repeat stone removal, stone flushing and other operations, and at the same time, it is connected with a negative pressure suction and pressure monitoring device, which can further improve the stone removal efficiency and surgical safety during the operation.

[0009] It can be seen that the above-mentioned technical solutions only involve the specific operation methods of upper urinary tract calculi surgery, and fail to accurately and effectively predict the prognostic data of each upper urinary tract calculi surgery, not to mention the prediction of the prognostic data of each tubeless treatment after each upper urinary tract calculi surgery. This leads to the lack of key reference information for surgeons and patients on the disease progression, postoperative diagnosis and later treatment of patients who adopt tubeless treatment for upper urinary tract calculi surgery. Obviously, there is room for further improvement in the medical care of upper urinary tract calculi surgery. Summary of the invention

[0010] In order to solve the technical problems in the related fields, the present invention provides a safety analysis method for tubeless treatment after upper urinary tract stone surgery. By introducing a customized safety analysis model, based on the targeted screened basic information such as the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract stone surgery, the multiple tubeless prognosis data of the target patient after this upper urinary tract stone surgery are intelligently analyzed, thereby helping surgeons and patients to confirm the disease progression, postoperative diagnosis and later treatment methods of patients who undergo tubeless treatment for upper urinary tract stones, and effectively improving the medical and nursing levels of tubeless treatment for upper urinary tract stones.

[0011] According to the present invention, a safety analysis method for tubeless treatment after upper urinary tract stone surgery is provided, the method comprising:

[0012] Collecting multiple physiological information of the target patient, wherein the multiple physiological information of the target patient includes the target patient's gender, age, duration of illness, number of historical stone surgeries, height data, and weight data;

[0013] The target patient's stone-free rate, maximum radial radius of cleared stones, number of cleared stones, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone clearance during surgery, ureteral mucosal damage during surgery, surgery duration, and presence of obvious hematuria at the ureteral opening after sheath withdrawal are captured as the output of various surgical-related information for the target patient's upper urinary tract stone surgery.

[0014] Performing a set number of learnings on the radial basis neural network to obtain a radial basis neural network after the set number of learnings, and outputting the radial basis neural network as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length;

[0015] The safety analysis model is used to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's upper urinary tract calculi surgery;

[0016] Among them, the safety analysis model is used to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient and various surgery-related information of the target patient's upper urinary tract calculi surgery, including: the multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery are the number of bladder irritation symptoms, the number of waist and abdominal pain, the number of hematuria and the occurrence mark of hydronephrosis of the target patient within the preset time length after the upper urinary tract calculi surgery and tubeless treatment.

[0017] Compared with the prior art, the present invention has at least the following key inventive features:

[0018] First: for the target patients who have completed the upper urinary tract calculi surgery, a customized safety analysis model is used to complete the intelligent analysis of multiple tubeless prognosis data of the target patients after the upper urinary tract calculi surgery, so as to provide valuable reference information for the prognosis status of the patients after each upper urinary tract calculi surgery and tubeless treatment, and provide data basis for the postoperative status and care of the patients. Specifically, the multiple tubeless prognosis data of the target patients after the upper urinary tract calculi surgery are the number of bladder irritation symptoms, the number of waist and abdominal pain, the number of hematuria and the occurrence mark of hydronephrosis of the target patients within a preset time length after the upper urinary tract calculi surgery and tubeless treatment;

[0019] Secondly: a safety analysis model for intelligent analysis of the prognosis data of upper urinary tract stone surgery without tubes is implemented, and the structure customization is manifested in the following aspects: the safety analysis model is a radial basis neural network after a set number of learnings, and the value of the set number is positively correlated with the preset time length;

[0020] Thirdly: to provide targeted basic contents for the intelligent analysis of the prognosis data of tubeless upper urinary tract stone surgery, including the target patient's gender, age, duration of illness, number of historical stone surgery, height data and weight data, as well as the target patient's stone-free rate, maximum radial radius of stone removal, number of stones removed, presence of polyps around stones, presence of obvious resistance during the operation when inserting the ureteroscope sheath, presence of complete stone removal during the operation, presence of ureteral mucosal damage during the postoperative removal of the soft endoscope sheath, operation duration and presence of obvious hematuria at the ureteral opening after the soft endoscope sheath is removed, thereby ensuring the reliability and stability of the intelligent analysis results;

[0021] Finally: in each learning execution of the radial basis neural network, the preset time length, the stone location and urinary tract width of a past patient who has completed upper urinary tract calculi surgery, multiple physiological information of the past patient, and various surgical-related information of the past upper urinary tract calculi surgery completed by the past patient are used as the input content of the radial basis neural network, and multiple tubeless prognosis data of the past patient after the past upper urinary tract calculi surgery are used as the output content of the radial basis neural network to complete this learning execution of the radial basis neural network, thereby ensuring the learning effect of each learning of the radial basis neural network. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0023] Figure 1 The present invention is a technical flow chart of the safety analysis method for tubeless treatment after upper urinary tract stone surgery.

[0024] Figure 2 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 1 of the present invention.

[0025] Figure 3 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 2 of the present invention.

[0026] Figure 4 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 3 of the present invention.

[0027] Figure 5The present invention is a flowchart of the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 4 of the present invention.

[0028] Figure 6 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 5 of the present invention. DETAILED DESCRIPTION

[0029] like Figure 1 As shown, a technical flow chart of the safety analysis method for tubeless treatment after upper urinary tract stone surgery according to the present invention is given.

[0030] like Figure 1 As shown, the specific technical process of the present invention is as follows:

[0031] Technical process 1: To complete the intelligent analysis of multiple tubeless prognostic data of target patients who have undergone upper urinary tract stone surgery, the first type of basic data is screened in a targeted manner;

[0032] Specifically, the first type of basic data is multiple physiological information of the target patient, including the target patient's gender, age, duration of illness, number of historical stone surgeries, height data, and weight data;

[0033] For example, the multiple tubeless prognosis data of the target patient are the number of occurrences of bladder irritation, waist and abdominal pain, hematuria, and hydronephrosis in the target patient within a preset time period after the upper urinary tract stone surgery and tubeless treatment;

[0034] Technical process 2: To complete the intelligent analysis of multiple tubeless prognostic data of target patients who have undergone upper urinary tract stone surgery, the second type of basic data is screened in a targeted manner;

[0035] Specifically, the second type of basic data is various surgical-related information of the target patient's upper urinary tract calculi surgery, including the target patient's stone-free rate, the maximum radial radius of the cleared stones, the number of cleared stones, the presence of polyps around the stones, the presence of obvious resistance during the insertion of the ureteroscope sheath, the presence of complete stone clearance during the operation, the presence of ureteral mucosal damage during the postoperative soft endoscope sheath withdrawal, the operation duration, and the presence of obvious hematuria at the ureteral opening after the soft endoscope sheath withdrawal;

[0036] Technical process three: To complete the intelligent analysis of multiple tubeless prognostic data of target patients who have undergone upper urinary tract stone surgery, a customized artificial intelligence model is designed;

[0037] For example, the artificial intelligence model is a security analysis model, and its structural customization is mainly reflected in the following two aspects:

[0038] In the first aspect, the safety analysis model is a radial basis neural network after a set number of learnings, and the value of the set number is positively correlated with a preset time length, and the preset time length is related to a plurality of tubeless prognosis data of the target patient;

[0039] Second aspect: in each learning of the radial basis neural network, the preset time length, the stone position and urinary tract width of a past patient who has completed upper urinary tract calculi surgery, multiple physiological information of the past patient, and various surgical related information of the past upper urinary tract calculi surgery completed by the past patient are used as input content of the radial basis neural network, and multiple tubeless prognosis data of the past patient after the past upper urinary tract calculi surgery are used as output content of the radial basis neural network to complete the current learning of the radial basis neural network, thereby ensuring the learning effect of each learning of the radial basis neural network;

[0040] The implementation of the above two aspects improves the stability and effectiveness of the intelligent analysis results of the security analysis model;

[0041] Technical process 4: The safety analysis model designed by technical process 3 is used to intelligently analyze multiple tubeless prognostic data of target patients based on the first type of basic data targeted by technical process 1 and the second type of basic data targeted by technical process 2;

[0042] It can be seen that through the above-mentioned intelligent analysis, accurate and reliable predictions of various prognostic data in the detailed field of tubeless treatment after each upper urinary tract stone surgery are achieved, which makes it convenient for surgeons and patients to understand the disease progression, postoperative diagnosis and later treatment methods of patients who undergo tubeless treatment for upper urinary tract stones, and expands the room for improvement of medical care for upper urinary tract stones.

[0043] The key points of the present invention are: targeted screening of the first type of basic data, targeted screening of the second type of basic data, and customized design and targeted application of the security analysis model.

[0044] Next, the safety analysis method of the present invention for tubeless treatment after upper urinary tract stone surgery will be specifically described by way of example.

[0045] Example 1

[0046] Figure 2 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 1 of the present invention.

[0047] like Figure 2 As shown, the safety analysis method of tubeless treatment after upper urinary tract stone surgery includes the following specific steps:

[0048] Step S101: collecting multiple physiological information of the target patient, wherein the multiple physiological information of the target patient includes the target patient's gender, age, duration of illness, number of historical stone surgeries, height data, and weight data;

[0049] For example, collecting multiple physiological information of the target patient, wherein the multiple physiological information of the target patient includes the target patient's gender, age, duration of illness, number of historical stone surgery, height data, and weight data, including: the multiple physiological information of the target patient can be collected by accessing an MMC storage chip that temporarily stores the multiple physiological information of the target patient;

[0050] Step S102: capturing the target patient's stone-free rate, maximum radial radius of stone-free, number of stones freed, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, presence of stone-complete clearance during surgery, presence of ureteral mucosal damage during surgery when the soft endoscope sheath is removed, surgery duration, and presence of obvious hematuria at the ureteral opening after the soft endoscope sheath is removed, as output of various surgical-related information of the target patient's upper urinary tract stone surgery;

[0051] For example, the stone-free rate, the maximum radial radius of the cleared stones, the number of cleared stones, the presence of polyps around the stones, the presence of obvious resistance during the insertion of the ureteroscope sheath, the presence of complete stone clearance during the operation, the presence of ureteral mucosal damage during the postoperative soft endoscope sheath withdrawal, the operation duration, and the presence of obvious hematuria at the ureteral opening after the soft endoscope sheath withdrawal of the target patient can be captured in manual detection mode and / or electronic detection mode;

[0052] Step S103: performing a set number of learnings on the radial basis neural network to obtain a radial basis neural network after the set number of learnings, and outputting the radial basis neural network as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length;

[0053] Specifically, a set number of learnings are performed on the radial basis neural network to obtain a radial basis neural network after the set number of learnings, and the radial basis neural network is output as a safety analysis model, and the value of the set number is positively correlated with the preset time length, including: when the preset time length is 1 month, the value of the set number is 60, when the preset time length is 2 months, the value of the set number is 80, when the preset time length is 3 months, the value of the set number is 100, when the preset time length is 4 months, the value of the set number is 120, and so on;

[0054] Step S104: using the safety analysis model to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's upper urinary tract calculi surgery;

[0055] Specifically, the MATLAB toolbox may be selected to complete the simulation and testing of the data processing process of multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery by using the safety analysis model based on the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's current upper urinary tract calculi surgery;

[0056] Among them, the safety analysis model is used to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone position and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's upper urinary tract calculi surgery, including: the multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery are the number of bladder irritation symptoms, the number of waist and abdominal pain, the number of hematuria, and the occurrence mark of hydronephrosis of the target patient within the preset time length after the upper urinary tract calculi surgery and tubeless treatment;

[0057] The radial basis function neural network is subjected to a set number of learnings to obtain a radial basis function neural network after the set number of learnings, and is output as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length, including: in each learning performed on the radial basis function neural network, the preset time length, the stone position and urinary tract width of a past patient who has completed upper urinary tract calculi surgery, multiple physiological information of the past patient, and various surgical-related information of the past upper urinary tract calculi surgery performed by the past patient are used as input content of the radial basis function neural network, and multiple tubeless prognosis data of the past patient after the past upper urinary tract calculi surgery are used as output content of the radial basis function neural network, so as to complete the current learning performed on the radial basis function neural network;

[0058] wherein the radial basis neural network is subjected to a set number of learnings to obtain a radial basis neural network after the set number of learnings, and outputted as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length and further comprises: the shorter the preset time length, the smaller the value of the set number;

[0059] Among them, the stone-free rate, maximum radial radius of stone removal, number of stones removed, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone removal during surgery, ureteral mucosal damage during surgery, surgery duration, and presence of obvious hematuria at ureteral opening after sheath removal are captured as the output of various surgical-related information of the target patient's upper urinary tract stone surgery, including: the target patient's maximum radial radius of stone removal is the radial radius of the target patient's largest stone removed during this upper urinary tract stone surgery, and the stone-free rate of the target patient's upper urinary tract stone surgery is expressed in percentage;

[0060] For example, the maximum radial radius of the target patient's cleared stones is the radial radius of the target patient's largest stone cleared in this upper urinary tract calculi surgery, and the stone-free rate of the target patient's upper urinary tract calculi surgery is expressed in percentage, including: the stone-free rate of the target patient's upper urinary tract calculi surgery is the percentage value obtained by dividing the stone weight of the target patient after this upper urinary tract calculi surgery by the stone weight of the target patient before this upper urinary tract calculi surgery;

[0061] And wherein, the use of the safety analysis model to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract stone surgery based on the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract stone surgery also includes: synchronously inputting the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract stone surgery into the safety analysis model, and running the safety analysis model to obtain the multiple tubeless prognosis data of the target patient after the upper urinary tract stone surgery output by the safety analysis model.

[0062] Example 2

[0063] Figure 3 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 2 of the present invention.

[0064] like Figure 3 As shown, Figure 2 Different from the embodiment in, in the safety analysis method for tubeless upper urinary tract stone surgery, before collecting multiple physiological information of the target patient, the multiple physiological information of the target patient includes the target patient's gender, age, duration of illness, number of historical stone surgery, height data and weight data, that is, before step S101, the method further includes:

[0065] Step S105: using a plurality of different information capture components to respectively capture the target patient's gender, age, duration of illness, number of historical stone surgery operations, height data, and weight data, and temporarily storing the collected gender, age, duration of illness, number of historical stone surgery operations, height data, and weight data as a plurality of physiological information of the target patient in a waiting state;

[0066] Specifically, a plurality of different information capture components are used to respectively capture the target patient's gender, age, duration of illness, number of historical stone surgery operations, height data and weight data, and the collected gender, age, duration of illness, number of historical stone surgery operations, height data and weight data of the target patient are temporarily stored as multiple physiological information of the target patient to be put in a state to be collected, including: temporarily storing the multiple physiological information of the target patient in an MMC storage chip.

[0067] Example 3

[0068] Figure 4 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 3 of the present invention.

[0069] like Figure 4 As shown, Figure 2 Different from the embodiment in, in the safety analysis method for postoperative tubeless treatment of upper urinary tract stones, after performing a set number of learnings on the radial basis function neural network to obtain a radial basis function neural network after the set number of learnings, and outputting the radial basis function neural network as the safety analysis model, and after the value of the set number is positively correlated with the preset time length, that is, after step S103, the method further includes:

[0070] Step S106: using a FLASH storage chip to store various model parameters of the security analysis model to complete model storage of the security analysis model;

[0071] By way of example, using a FLASH storage chip to store various model parameters of the security analysis model to complete model storage of the security analysis model includes: storing various model parameters of the security analysis model in different physical address spaces of the FLASH storage chip respectively.

[0072] Example 4

[0073] Figure 5 The present invention is a flowchart of the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 4 of the present invention.

[0074] like Figure 5 As shown, Figure 2Different from the embodiments in the embodiment, in the safety analysis method for tubeless treatment after upper urinary tract calculi surgery, after the safety analysis model is used to intelligently analyze multiple tubeless treatment prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone position and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's current upper urinary tract calculi surgery, that is, after step S104, the method further includes:

[0075] Step S107: using a liquid crystal display screen to receive the multiple copies of the tubeless prognosis data of the target patient, and displaying the multiple copies of the tubeless prognosis data of the target patient in real time;

[0076] Alternatively, an LED display array or an LCD display array may be selected to replace the liquid crystal display screen to receive multiple copies of the tubeless prognosis data of the target patient and display the multiple copies of the tubeless prognosis data of the target patient in real time.

[0077] Example 5

[0078] Figure 6 The present invention is a flowchart showing the steps of a safety analysis method for tubeless treatment after upper urinary tract stone surgery according to Example 5 of the present invention.

[0079] like Figure 6 As shown, Figure 2 Different from the embodiments in the embodiment, in the safety analysis method for tubeless treatment after upper urinary tract calculi surgery, after the safety analysis model is used to intelligently analyze multiple tubeless treatment prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone position and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's current upper urinary tract calculi surgery, that is, after step S104, the method further includes:

[0080] Step S108: receiving the plurality of tubeless prognostic data of the target patient by using a time division duplex communication interface, and wirelessly transmitting the plurality of tubeless prognostic data of the target patient to a remote postoperative monitoring server through the time division duplex communication interface;

[0081] Wherein, using a time division duplex communication interface to receive a plurality of tubeless prognostic data of the target patient, and wirelessly transmitting the plurality of tubeless prognostic data of the target patient to a remote postoperative monitoring server through the time division duplex communication interface comprises: the postoperative monitoring server is wirelessly connected to a plurality of time division duplex communication interfaces at the same time;

[0082] And specifically, the postoperative monitoring server is wirelessly connected to multiple time-division duplex communication interfaces at the same time, including: the postoperative monitoring server is a cloud server, a big data server or a blockchain server.

[0083] Next, various method embodiments of the present invention are described in detail.

[0084] In the safety analysis method of tubeless upper urinary tract calculi surgery according to various method embodiments of the present invention:

[0085] Collect multiple physiological information of the target patient, including the target patient's gender, age, duration of illness, number of historical stone surgery, height data and weight data: the duration of illness of the target patient is the number of months from the first illness of the target patient to the current moment;

[0086] For example, the target patient's illness duration is the number of months from the first time the target patient became ill to the current moment, including: the target patient first became ill in October, and the current moment is December, then the target patient's illness duration is 2 months.

[0087] In the safety analysis method of tubeless upper urinary tract calculi surgery according to various method embodiments of the present invention:

[0088] The stone-free rate, maximum radial radius of stone-free, number of stones-free, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone-free during surgery, presence of ureteral mucosal damage during postoperative ureteroscope sheath withdrawal, operation duration, and presence of obvious hematuria at ureteral opening after ureteroscope sheath withdrawal of the target patient's upper urinary tract stone surgery are captured as the output of various surgical-related information of the target patient's upper urinary tract stone surgery, including: storing the captured stone-free rate, maximum radial radius of stone-free, number of stones-free, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone-free during surgery, presence of ureteral mucosal damage during postoperative ureteroscope sheath withdrawal, operation duration, and presence of obvious hematuria at ureteral opening after ureteroscope sheath withdrawal of the target patient in a local static storage chip;

[0089] Among them, the captured stone clearance rate, maximum radial radius of stone clearance, number of stones cleared, presence of polyps around stones, presence of obvious resistance when inserting ureteroscope sheath during operation, complete stone clearance during operation, presence of ureteral mucosal damage during postoperative sheath withdrawal, operation duration, and presence of obvious hematuria at ureteral opening after sheath withdrawal of the target patient's upper urinary tract stone surgery are stored in a local static storage chip, including: in the local static storage chip, different physical storage addresses are used to respectively store the stone clearance rate, maximum radial radius of stone clearance, number of stones cleared, presence of polyps around stones, presence of obvious resistance when inserting ureteroscope sheath during operation, complete stone clearance during operation, presence of ureteral mucosal damage during postoperative sheath withdrawal of the target patient's upper urinary tract stone surgery.

[0090] And in the safety analysis method of tubeless upper urinary tract calculi surgery according to various method embodiments of the present invention:

[0091] The stone clearance rate, maximum radial radius of cleared stones, number of cleared stones, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone clearance during surgery, presence of ureteral mucosal damage during surgery, surgery duration, and presence of obvious hematuria at ureteral opening after surgery of the soft sheath are captured as various surgical-related information of the target patient's upper urinary tract calculi surgery. The output also includes: during the upper urinary tract calculi surgery, when the maximum value of the resistance sensed by the ureteroscope sheath during the insertion of the ureteroscope sheath exceeds or is equal to the set resistance threshold, the presence of obvious resistance during the insertion of the ureteroscope sheath during the upper urinary tract calculi surgery of the target patient is set to 0B0001; otherwise, the presence of obvious resistance during the insertion of the ureteroscope sheath during the upper urinary tract calculi surgery of the target patient is set to 0B0000;

[0092] Among them, the stone clearance rate, the maximum radial radius of the cleared stones, the number of cleared stones, the presence mark of polyps around the stones, the mark of urinary tract stenosis at the stone location, the presence mark of obvious resistance when inserting the ureteroscope sheath during the operation, the mark of complete stone clearance during the operation, the presence mark of ureteral mucosal damage during the postoperative soft endoscope sheath withdrawal, the operation time, and the presence mark of obvious hematuria at the ureteral opening after the soft endoscope sheath withdrawal of the target patient are captured as various surgical related information outputs of the upper urinary tract calculi surgery of the target patient, and the output also includes: when the stone is completely cleared after the postoperative examination of the upper urinary tract calculi surgery, the presence mark of polyps around the stones of the target patient is set to 0B0011, otherwise, the presence mark of polyps around the stones of the target patient is set to 0B0010;

[0093] Among them, the stone clearance rate, the maximum radial radius of the cleared stones, the number of cleared stones, the presence of polyps around the stones, the presence of obvious resistance when inserting the ureteroscope sheath during the operation, the presence of complete stone clearance during the operation, the presence of ureteral mucosal damage when the soft sheath is withdrawn after the operation, the operation time, and the presence of obvious hematuria at the ureteral opening after the soft sheath is withdrawn during the operation of the upper urinary tract calculi of the target patient are captured as various surgical related information outputs of the upper urinary tract calculi of the target patient, and the output also includes: after the upper urinary tract calculi operation, when the ureteral mucosal damage is checked when the soft sheath is withdrawn, the presence of the ureteral mucosal damage when the soft sheath is withdrawn after the operation of the upper urinary tract calculi of the target patient is set to 0B0111, otherwise, the presence of the ureteral mucosal damage when the soft sheath is withdrawn after the operation of the upper urinary tract calculi of the target patient is set to 0B0110;

[0094] And among them, the stone clearance rate, maximum radial radius of stone clearance, number of stones cleared, presence of polyps around stones, presence of obvious resistance when inserting ureteroscope sheath during operation, presence of complete stone clearance during operation, presence of ureteral mucosal damage when removing the sheath after operation, operation duration and presence of obvious hematuria at ureteral opening after removing the sheath are captured as various surgical-related information outputs of the target patient's upper urinary tract stone surgery, and the output also includes: after the upper urinary tract stone surgery, when the ureteral opening is checked after removing the sheath and the volume of hematuria exceeds the set volume threshold, the presence of obvious hematuria at the ureteral opening after removing the sheath is set to 0B1111; otherwise, the presence of obvious hematuria at the ureteral opening after removing the sheath is set to 0B1110.

[0095] In addition, the present invention may also cite the following technical contents to highlight the significant technical progress of the present invention:

[0096] Performing a set number of learnings on the radial basis neural network to obtain a radial basis neural network after the set number of learnings, and outputting the radial basis neural network as a safety analysis model, wherein the value of the set number is positively associated with the preset time length, further comprising: using a numerical conversion function to represent a numerical conversion relationship of the value of the set number being positively associated with the preset time length;

[0097] For example, using a numerical conversion function to represent a numerical conversion relationship in which the value of the set number is positively correlated with the preset time length includes: in the numerical conversion function, the preset time length is an input parameter of the numerical conversion function, and the value of the set number is an output parameter of the numerical conversion function;

[0098] And wherein, synchronously inputting the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract calculi surgery into the safety analysis model, and running the safety analysis model to obtain multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery output by the safety analysis model includes: using a synchronous control interface to execute synchronous input of the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract calculi surgery into the safety analysis model;

[0099] For example, using a synchronous control interface to execute synchronous input of a preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract stone surgery into the safety analysis model includes: selecting to use a programmable logic device to implement the synchronous control interface.

[0100] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Ordinary technicians in this field can also make many forms under the guidance of the present invention, all of which are within the protection of the present invention.

Claims

1. A safety analysis method for postoperative tubeless treatment of upper urinary tract stones, characterized in that: The method comprises: Collecting multiple physiological information of the target patient, wherein the multiple physiological information of the target patient includes the target patient's gender, age, duration of illness, number of historical stone surgeries, height data, and weight data; The target patient's stone-free rate, maximum radial radius of cleared stones, number of cleared stones, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone clearance during surgery, ureteral mucosal damage during surgery, surgery duration, and presence of obvious hematuria at the ureteral opening after sheath withdrawal are captured as the output of various surgical-related information for the target patient's upper urinary tract stone surgery. Performing a set number of learnings on the radial basis neural network to obtain a radial basis neural network after the set number of learnings, and outputting the radial basis neural network as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length; The safety analysis model is used to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's upper urinary tract calculi surgery; Among them, the safety analysis model is used to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery based on the preset time length, the stone position and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's upper urinary tract calculi surgery, including: the multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery are the number of bladder irritation symptoms, the number of waist and abdominal pain, the number of hematuria, and the occurrence mark of hydronephrosis of the target patient within the preset time length after the upper urinary tract calculi surgery and tubeless treatment; wherein, performing a set number of learnings on the radial basis neural network to obtain a radial basis neural network after the set number of learnings, and outputting the radial basis neural network as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length, including: in each learning performed on the radial basis neural network, using the preset time length, the stone position and urinary tract width of a past patient who has completed upper urinary tract calculi surgery, multiple physiological information of the past patient, and various surgical-related information of the past upper urinary tract calculi surgery completed by the past patient as input content of the radial basis neural network, using multiple tubeless prognosis data of the past patient after the past upper urinary tract calculi surgery as output content of the radial basis neural network, and completing the current learning performed on the radial basis neural network; wherein the radial basis neural network is subjected to a set number of learnings to obtain a radial basis neural network after the set number of learnings, and outputted as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length and further comprises: the shorter the preset time length, the smaller the value of the set number; Among them, the stone-free rate, maximum radial radius of stone removal, number of stones removed, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone removal during surgery, ureteral mucosal damage during surgery, surgery duration, and presence of obvious hematuria at ureteral opening after sheath removal are captured as the output of various surgical-related information of the target patient's upper urinary tract stone surgery, including: the target patient's maximum radial radius of stone removal is the radial radius of the target patient's largest stone removed during this upper urinary tract stone surgery, and the stone-free rate of the target patient's upper urinary tract stone surgery is expressed in percentage; Among them, the use of the safety analysis model to intelligently analyze multiple tubeless prognosis data of the target patient after the upper urinary tract stone surgery based on the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract stone surgery also includes: synchronously inputting the preset time length, the stone location and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical-related information of the target patient's upper urinary tract stone surgery into the safety analysis model, and running the safety analysis model to obtain the multiple tubeless prognosis data of the target patient after the upper urinary tract stone surgery output by the safety analysis model.

2. The safety analysis method for postoperative tubeless treatment of upper urinary tract stones according to claim 1, characterized in that: Before collecting multiple physiological information of the target patient, wherein the multiple physiological information of the target patient includes the target patient's gender, age, duration of illness, number of historical stone surgeries, height data, and weight data, the method further includes: A plurality of different information capture components are used to respectively capture the target patient's gender, age, duration of illness, number of historical stone surgery operations, height data and weight data, and the collected gender, age, duration of illness, number of historical stone surgery operations, height data and weight data of the target patient are temporarily stored as multiple physiological information of the target patient to be put in a state to be collected.

3. The safety analysis method for postoperative tubeless treatment of upper urinary tract stones according to claim 1, characterized in that: Performing a set number of learnings on the radial basis neural network to obtain a radial basis neural network after the set number of learnings, and outputting the radial basis neural network as a safety analysis model, wherein the value of the set number is positively correlated with the preset time length, the method further includes: The model storage of the safety analysis model is completed by using a FLASH storage chip to store various model parameters of the safety analysis model.

4. The safety analysis method for postoperative tubeless treatment of upper urinary tract stones according to claim 1, characterized in that: After intelligently analyzing multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery using the safety analysis model based on the preset time length, the stone position and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's upper urinary tract calculi surgery, the method further includes: A liquid crystal display screen is used to receive the multiple copies of the tubeless prognosis data of the target patient, and the multiple copies of the tubeless prognosis data of the target patient are displayed in real time.

5. The safety analysis method for postoperative tubeless treatment of upper urinary tract stones according to claim 1, characterized in that: After intelligently analyzing multiple tubeless prognosis data of the target patient after the upper urinary tract calculi surgery using the safety analysis model based on the preset time length, the stone position and urinary tract width of the target patient, multiple physiological information of the target patient, and various surgical related information of the target patient's upper urinary tract calculi surgery, the method further includes: Using a time-division duplex communication interface to receive multiple copies of the tubeless prognosis data of the target patient, and wirelessly transmitting the multiple copies of the tubeless prognosis data of the target patient to a remote postoperative monitoring server through the time-division duplex communication interface; Among them, using a time-division duplex communication interface to receive multiple copies of the target patient's unmanaged prognosis data, and wirelessly transmitting the multiple copies of the target patient's unmanaged prognosis data to a remote postoperative monitoring server through the time-division duplex communication interface includes: the postoperative monitoring server is wirelessly connected to multiple time-division duplex communication interfaces at the same time.

6. The safety analysis method for postoperative tubeless treatment of upper urinary tract stones according to claim 1, characterized in that: Collect multiple physiological information of the target patient, including the target patient's gender, age, illness duration, number of historical stone surgery, height data and weight data, including: the target patient's illness duration is the number of months from the first time the target patient became ill to the current moment.

7. The safety analysis method for postoperative tubeless treatment of upper urinary tract stones according to claim 1, characterized in that: The stone-free rate, maximum radial radius of stone-free, number of stones-free, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone-free during surgery, presence of ureteral mucosal damage during postoperative ureteroscope sheath withdrawal, operation duration, and presence of obvious hematuria at ureteral opening after ureteroscope sheath withdrawal of the target patient's upper urinary tract stone surgery are captured as the output of various surgical-related information of the target patient's upper urinary tract stone surgery, including: storing the captured stone-free rate, maximum radial radius of stone-free, number of stones-free, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone-free during surgery, presence of ureteral mucosal damage during postoperative ureteroscope sheath withdrawal, operation duration, and presence of obvious hematuria at ureteral opening after ureteroscope sheath withdrawal of the target patient in a local static storage chip; Among them, the captured stone clearance rate, maximum radial radius of stone clearance, number of stones cleared, presence of polyps around stones, presence of obvious resistance when inserting ureteroscope sheath during operation, complete stone clearance during operation, presence of ureteral mucosal damage during postoperative sheath withdrawal, operation duration, and presence of obvious hematuria at ureteral opening after sheath withdrawal of the target patient's upper urinary tract stone surgery are stored in a local static storage chip, including: in the local static storage chip, different physical storage addresses are used to respectively store the stone clearance rate, maximum radial radius of stone clearance, number of stones cleared, presence of polyps around stones, presence of obvious resistance when inserting ureteroscope sheath during operation, complete stone clearance during operation, presence of ureteral mucosal damage during postoperative sheath withdrawal of the target patient's upper urinary tract stone surgery.

8. The safety analysis method for postoperative tubeless treatment of upper urinary tract stones according to claim 1, characterized in that: The stone clearance rate, maximum radial radius of cleared stones, number of cleared stones, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone clearance during surgery, presence of ureteral mucosal damage during surgery, surgery duration, and presence of obvious hematuria at ureteral opening after surgery of the soft sheath are captured as various surgical-related information of the target patient's upper urinary tract calculi surgery. The output also includes: during the upper urinary tract calculi surgery, when the maximum value of the resistance sensed by the ureteroscope sheath during the insertion of the ureteroscope sheath exceeds or is equal to the set resistance threshold, the presence of obvious resistance during the insertion of the ureteroscope sheath during the upper urinary tract calculi surgery of the target patient is set to 0B0001; otherwise, the presence of obvious resistance during the insertion of the ureteroscope sheath during the upper urinary tract calculi surgery of the target patient is set to 0B0000; Among them, the stone clearance rate, the maximum radial radius of the cleared stones, the number of cleared stones, the presence mark of polyps around the stones, the mark of urinary tract stenosis at the stone location, the presence mark of obvious resistance when inserting the ureteroscope sheath during the operation, the mark of complete stone clearance during the operation, the presence mark of ureteral mucosal damage during the postoperative soft endoscope sheath withdrawal, the operation time, and the presence mark of obvious hematuria at the ureteral opening after the soft endoscope sheath withdrawal of the target patient are captured as various surgical related information outputs of the upper urinary tract calculi surgery of the target patient, and the output also includes: when the stone is completely cleared after the postoperative examination of the upper urinary tract calculi surgery, the presence mark of polyps around the stones of the target patient is set to 0B0011, otherwise, the presence mark of polyps around the stones of the target patient is set to 0B0010; Among them, the stone clearance rate, the maximum radial radius of the cleared stones, the number of cleared stones, the presence of polyps around the stones, the presence of obvious resistance when inserting the ureteroscope sheath during the operation, the presence of complete stone clearance during the operation, the presence of ureteral mucosal damage when the soft sheath is withdrawn after the operation, the operation time, and the presence of obvious hematuria at the ureteral opening after the soft sheath is withdrawn during the operation of the upper urinary tract calculi of the target patient are captured as various surgical related information outputs of the upper urinary tract calculi of the target patient, and the output also includes: after the upper urinary tract calculi operation, when the ureteral mucosal damage is checked when the soft sheath is withdrawn, the presence of the ureteral mucosal damage when the soft sheath is withdrawn after the operation of the upper urinary tract calculi of the target patient is set to 0B0111, otherwise, the presence of the ureteral mucosal damage when the soft sheath is withdrawn after the operation of the upper urinary tract calculi of the target patient is set to 0B0110; Among them, the stone clearance rate, maximum radial radius of stone clearance, number of stones cleared, presence of polyps around stones, presence of obvious resistance during ureteroscope sheath insertion, complete stone clearance during surgery, presence of ureteral mucosal damage during surgery when the sheath is removed, duration of surgery, and presence of obvious hematuria at the ureteral opening after the sheath is removed are captured as various surgical-related information of the target patient's upper urinary tract stone surgery. The output also includes: after the upper urinary tract stone surgery, if the volume of hematuria at the ureteral opening exceeds the set volume threshold after the sheath is removed, the presence of obvious hematuria at the ureteral opening after the sheath is removed is set to 0B1111; otherwise, the presence of obvious hematuria at the ureteral opening after the sheath is removed is set to 0B1110.

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