Postoperative monitoring system for urinary surgery patient based on multi-algorithm fusion

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a urinary surgery patient postoperative monitoring system based on multi-algorithm fusion. The system comprises an information input unit, a data analysis unit, a data processing unit and a monitoring alarm unit, and the data processing unit examines urine data and blood data of a patient with the urine frequency by observing whether the urinary frequency of the patient with the urinary surgery exists or not, analyzes the urine data and the blood data of the patient with the urinary surgery and sends the data to the monitoring alarm unit. The urine specific gravity, the serum creatinine clearance rate and the urea nitrogen clearance rate of the urinary surgery patient are obtained, and the health prediction coefficient of the urinary surgery patient is calculated through comprehensive data processing of the urine specific gravity, the serum creatinine clearance rate and the urea nitrogen clearance rate of the urinary surgery patient. And comparing the health prediction coefficient of the urinary surgery patient with a preset health prediction coefficient threshold value to obtain the postoperative health condition of the urinary surgery patient, so that the treatment effect and the life quality of the patient are improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a postoperative monitoring system for urology patients based on multi-algorithm fusion. Background Art

[0002] Postoperative monitoring of urological patients with multi-algorithm fusion is an important technology. The multi-algorithm fusion system has strong flexibility and scalability. It can select different algorithms according to actual needs and continuously introduce new algorithms. It can adjust and optimize according to the system's operating conditions and data characteristics, and flexibly respond to different data analysis needs. Urological surgery is an important means of treating urinary system diseases. Postoperative monitoring is crucial to the patient's recovery. Patients after urological surgery face various dangers. However, the existing postoperative monitoring only monitors the patient's surface wounds, and cannot timely predict the health status of urological patients and improve the treatment effect and quality of life of urological patients. To provide urological patients with more comprehensive and efficient monitoring services, we provide a postoperative monitoring system for urological patients based on multi-algorithm fusion to solve this problem. Summary of the invention

[0003] The purpose of the present invention is to provide a postoperative monitoring system for urology patients based on multi-algorithm fusion to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned object, the present invention provides a postoperative monitoring system for urology patients based on multi-algorithm fusion, including an information input unit, a data analysis unit, a data processing unit, and a monitoring alarm unit; The information input unit is used to input the identity information of the urology patient, generate the postoperative number of the urology patient after input, and collect urine data of the urology patient through the sensor device; The data analysis unit is used to receive urine data and blood data of urology patients collected by the information input unit, and analyze the urination frequency of urology patients to determine whether the urology patients have frequent urination after surgery; The data processing unit calculates and processes urine data and blood data of urology patients with frequent urination, compares the calculation results with the health prediction coefficient threshold, and predicts the postoperative health status of the urology patients according to the comparison results; The monitoring alarm unit is used to receive the health status of the urology patients after surgery sent by the data processing unit, and to issue an alarm to the urology patients after surgery who are in poor health.

[0005] As a further improvement of the present technical solution, the identity information of the urology patient in the information entry unit includes the patient's name, age, ID number, admission time, and operation time. After entry, the system automatically generates a unique identification symbol, which is the postoperative number of the urology patient.

[0006] As a further improvement of the technical solution, the information input unit collects urine data of urology patients through a sensor device, specifically including: The urine data of the urology patients include urine output, urine specific gravity, serum creatinine, and urea nitrogen of the urology patients, and the blood data of the urology patients include serum creatinine and urea nitrogen; The urine volume of patients after urological surgery was measured using a urometer, and the urine volume and frequency of patients after urological surgery were recorded 2-16 hours after surgery. The number of urinations in patients after urological surgery was recorded as , then the urination frequency of urology patients in 2-16 hours is: .

[0007] As a further improvement of the technical solution, the data analysis unit analyzes the urination frequency of urology patients, specifically including: Case ①: The threshold value of the urinary frequency of the urology patient is set to 0.7. When the urinary frequency of the urology patient within 2-16 hours is greater than 0.7, it is determined that the urinary frequency of the urology patient is in an abnormal state and frequent urination exists, and the determination result is sent to the data processing unit (3); Case ②: When the urination frequency of a urology patient is less than or equal to 0.7 within 2-16 hours, it is determined that the urination frequency of the urology patient is in a normal state and there is no frequent urination.

[0008] As a further improvement of the technical solution, the data processing unit performs calculation processing on urine data of urology patients with frequent urination, specifically including: Randomly extract the urine data of a urology patient with frequent urination, collect the first urine of the urology patient in the morning separately, and use a urine urometer to record the urine volume of the urology patient's first urine in the morning, recorded as , and then use a hydrometer to measure the mass of the first morning urine of urology patients, recorded as , then the urine specific gravity of urology patients is: ; in, It is expressed as the weight of the influence of ambient temperature on the urine specific gravity of urology patients. Blood samples of urology patients are collected. The serum creatinine and urea nitrogen in the blood samples of urology patients are measured by biochemical analysis instruments to obtain the concentrations of serum creatinine and urea nitrogen in the blood of urology patients. The serum creatinine clearance rate and urea nitrogen clearance rate of urology patients are calculated according to the concentrations of serum creatinine and urea nitrogen in the blood of urology patients.

[0009] As a further improvement of the technical solution, the data processing unit performs calculation and processing on the blood data of urology patients with frequent urination, specifically including: The concentration of serum creatinine in the blood of urology patients is recorded as , the age of urology patients is recorded as , the serum creatinine clearance of urology patients was calculated as follows: ; in, Expressed as serum creatinine clearance, is represented as a constant, v is the number of urology patients, a is the serum creatinine and The relationship between the minimum and maximum values ​​of the ratio of and 1, It is expressed as the gender correction coefficient. When b is 0, it means female urology patients. When b is 1, it means male urology patients. It is the correction coefficient of race. When r is 0, it means the yellow race. When r is 1, it means other races except the yellow race. Blood samples were collected from the veins of patients in the Department of Urology, and the collected blood samples were placed in special blood tubes. The urea nitrogen concentration in the blood samples of patients in the Department of Urology was measured using a biochemical measuring instrument and recorded as , the urine collection time of urology patients is recorded as , the concentration of urea nitrogen in urine of urology patients was extracted through experimental analysis and recorded as , the urea nitrogen clearance rate of urology patients was calculated, namely: .

[0010] As a further improvement of the technical solution, the data processing unit compares the calculation result with the health prediction coefficient threshold, and predicts the postoperative health status of the urology patient according to the comparison result, specifically including: The urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of urology patients were comprehensively calculated and processed to obtain the health prediction coefficient of urology patients, namely: ; in, Expressed as the health prediction coefficient for urology patients, , , They are expressed as the weight coefficients of urine specific gravity, serum creatinine clearance, and urea nitrogen clearance, respectively. Based on historical data, the health prediction coefficient threshold for urology patients is set as , The value range is ,when When When , it indicates that the health condition of the urology patient is poor, and the number of the urology patient with poor health condition is sent to the monitoring alarm unit.

[0011] As a further improvement of the technical solution, the monitoring alarm unit (4) is used to receive the number of the urology patient with poor health, and monitor the urology patient with poor health for 72 hours. If the health condition of the urology patient does not return to an excellent state within 72 hours, an alarm prompt is issued.

[0012] Compared with the prior art, the present invention has the following beneficial effects: The data processing unit observes whether urology patients have frequent urination, examines urine data and blood data of urology patients with frequent urination, and performs data analysis on the urine and blood of urology patients to obtain the urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of urology patients, calculates the health prediction coefficient of urology patients by performing comprehensive data processing on the obtained urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of urology patients, and then compares the health prediction coefficient of urology patients with a preset health prediction coefficient threshold, so as to judge the health status of urology patients, issue alarm prompts to urology postoperative patients with poor health status, improve treatment effects and patients' quality of life, reduce medical costs and alleviate pressure on medical resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is the overall structural diagram of the present invention; The meaning of each number in the figure is: 1. Information entry unit; 2. Data analysis unit; 3. Data processing unit; 4. Monitoring alarm unit. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] Example 1 The present invention provides a postoperative monitoring system for urology patients based on multi-algorithm fusion. Figure 1 As shown, it includes an information input unit 1, a data analysis unit 2, a data processing unit 3, and a monitoring alarm unit 4; The information entry unit 1 is used to enter the identity information of urology patients, generate the postoperative number of the urology patients after entry, and collect the urine data of the urology patients through the sensor equipment; the data analysis unit 2 is used to receive the urine data and blood data of the urology patients collected by the information entry unit 1, and analyze the urination frequency of the urology patients to analyze whether the urology patients have frequent urination after surgery; the data processing unit 3 calculates and processes the urine data and blood data of the urology patients with frequent urination, and compares the calculation and processing results with the health prediction coefficient threshold, and predicts the postoperative health status of the urology patients according to the comparison results; the monitoring alarm unit 4 is used to receive the postoperative health status of the urology patients sent by the data processing unit 3, and issue an alarm prompt to the postoperative urology patients with poor health.

[0016] The following is a refinement of the unit, see Figure 1 ; The identity information of the urology patient in the information entry unit 1 includes the patient's name, age, ID number, admission time, and operation time. After entry, the system automatically generates a unique identification symbol, which is the postoperative number of the urology patient; The information input unit 1 collects urine data of urology patients through sensor equipment, specifically including: The urine data of the urology patients include urine output, urine specific gravity, serum creatinine, and urea nitrogen of the urology patients, and the blood data of the urology patients include serum creatinine and urea nitrogen; The urine volume of patients after urological surgery was measured using a urometer, and the urine volume and frequency of patients after urological surgery were recorded 2-16 hours after surgery. The number of urinations in patients after urological surgery was recorded as , then the urination frequency of urology patients in 2-16 hours is: .

[0017] The data analysis unit 2 analyzes the urination frequency of urology patients, specifically including: Case ①: The threshold value of the urinary frequency of the urology patient is set to 0.7. When the urinary frequency of the urology patient within 2-16 hours is greater than 0.7, it is determined that the urinary frequency of the urology patient is in an abnormal state and frequent urination exists, and the determination result is sent to the data processing unit (3); Case ②: When the urination frequency of a urology patient is less than or equal to 0.7 within 2-16 hours, it is determined that the urination frequency of the urology patient is in a normal state and there is no frequent urination.

[0018] The data processing unit 3 performs calculation and processing on the urine data of urology patients with frequent urination, specifically including: Randomly extract the urine data of a urology patient with frequent urination, collect the first urine of the urology patient in the morning separately, and use a urine urometer to record the urine volume of the urology patient's first urine in the morning, recorded as , and then use a hydrometer to measure the mass of the first morning urine of urology patients, recorded as , then the urine specific gravity of urology patients is: ; in, It is expressed as the weight of the influence of ambient temperature on the urine specific gravity of urology patients. Blood samples of urology patients are collected. The serum creatinine and urea nitrogen in the blood samples of urology patients are measured by biochemical analysis instruments to obtain the concentrations of serum creatinine and urea nitrogen in the blood of urology patients. The serum creatinine clearance rate and urea nitrogen clearance rate of urology patients are calculated according to the concentrations of serum creatinine and urea nitrogen in the blood of urology patients.

[0019] The data processing unit 3) performs calculation and processing on the blood data of the urology patients with frequent urination, specifically including: The concentration of serum creatinine in the blood of urology patients is recorded as , the age of urology patients is recorded as , the serum creatinine clearance of urology patients was calculated as follows: ; in, Expressed as serum creatinine clearance, is represented as a constant, v is the number of urology patients, a is the serum creatinine and The relationship between the minimum and maximum values ​​of the ratio of and 1, It is expressed as the gender correction coefficient. When b is 0, it means female urology patients. When b is 1, it means male urology patients. It is the correction coefficient of race. When r is 0, it means the yellow race. When r is 1, it means other races except the yellow race. Blood samples were collected from the veins of patients in the Department of Urology, and the collected blood samples were placed in special blood tubes. The urea nitrogen concentration in the blood samples of patients in the Department of Urology was measured using a biochemical measuring instrument and recorded as , the urine collection time of urology patients is recorded as , the concentration of urea nitrogen in urine of urology patients was extracted through experimental analysis and recorded as , the urea nitrogen clearance rate of urology patients was calculated, namely: .

[0020] The data processing unit 3 compares the calculation result with the health prediction coefficient threshold, and predicts the postoperative health status of the urology patient according to the comparison result, specifically including: The urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of urology patients were comprehensively calculated and processed to obtain the health prediction coefficient of urology patients, namely: ; in, Expressed as the health prediction coefficient for urology patients, , , They are expressed as the weight coefficients of urine specific gravity, serum creatinine clearance, and urea nitrogen clearance, respectively. Based on historical data, the health prediction coefficient threshold for urology patients is set as , The value range is ,when When When , it indicates that the health condition of the urology patient is poor, and the number of the urology patient with poor health condition is sent to the monitoring alarm unit 4.

[0021] The monitoring alarm unit 4 is used to receive the ID of the urology patient with poor health and monitor the urology patient with poor health for 72 hours. If the health condition of the urology patient does not return to good within 72 hours, an alarm prompt will be issued.

[0022] The data processing unit observes whether urology patients have frequent urination, examines urine data and blood data of urology patients with frequent urination, and performs data analysis on the urine and blood of urology patients to obtain the urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of urology patients, calculates the health prediction coefficient of urology patients by performing comprehensive data processing on the obtained urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of urology patients, and then compares the health prediction coefficient of urology patients with a preset health prediction coefficient threshold, so as to judge the health status of urology patients, issue alarm prompts to urology postoperative patients with poor health status, improve treatment effects and patients' quality of life, reduce medical costs and alleviate pressure on medical resources.

[0023] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. Postoperative monitoring system for urology patients based on multi-algorithm fusion, characterized by: It comprises an information input unit (1), a data analysis unit (2), a data processing unit (3), and a monitoring alarm unit (4); The information input unit (1) is used to input the identity information of urology patients, generate a postoperative number of the urology patients after input, and collect urine data of the urology patients through sensor equipment; The data analysis unit (2) is used to receive urine data and blood data of urology patients collected by the information input unit (1), and analyze the urination frequency of urology patients to determine whether the urology patients have frequent urination after surgery; The data processing unit (3) performs calculation processing on urine data and blood data of urology patients with frequent urination, compares the calculation processing result with the health prediction coefficient threshold, and predicts the postoperative health status of the urology patients according to the comparison result; The monitoring alarm unit (4) is used to receive the health status of the urology patients after surgery sent by the data processing unit (3), and to issue an alarm to the urology patients after surgery who are in poor health; The data processing unit (3) observes whether the urology patients have frequent urination, examines the urine data and blood data of the urology patients with frequent urination, and performs data analysis on the urine and blood of the urology patients to obtain the urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of the urology patients, and calculates the health prediction coefficient of the urology patients by performing comprehensive data processing on the obtained urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of the urology patients, and then compares the health prediction coefficient of the urology patients with a preset health prediction coefficient threshold, thereby judging the health status of the urology patients, and issuing an alarm prompt to urology patients who have undergone surgery and are in poor health.

2. The postoperative monitoring system for urology patients based on multi-algorithm fusion according to claim 1 is characterized by: The identity information of the urology patient in the information input unit (1) includes the patient's name, age, ID number, admission time, and operation time. After the information is input, the system automatically generates a unique identification number, which is the postoperative number of the urology patient.

3. The postoperative monitoring system for urology patients based on multi-algorithm fusion according to claim 2 is characterized by: The information input unit (1) collects urine data of urology patients through sensor equipment, specifically including: The urine data of the urology patients include urine output, urine specific gravity, serum creatinine, and urea nitrogen of the urology patients, and the blood data of the urology patients include serum creatinine and urea nitrogen; The urine volume of patients after urological surgery was measured using a urometer, and the urine volume and frequency of patients after urological surgery were recorded 2-16 hours after surgery. The number of urinations in patients after urological surgery was recorded as , then the urination frequency of urology patients in 2-16 hours is: 。 4. The postoperative monitoring system for urology patients based on multi-algorithm fusion according to claim 2 is characterized by: The data analysis unit (2) analyzes the urination frequency of urology patients, specifically including: Case ①: The threshold value of the urinary frequency of the urology patient is set to 0.

7. When the urinary frequency of the urology patient within 2-16 hours is greater than 0.7, it is determined that the urinary frequency of the urology patient is in an abnormal state and frequent urination exists, and the determination result is sent to the data processing unit (3); Case ②: When the urination frequency of a urology patient is less than or equal to 0.7 within 2-16 hours, it is determined that the urination frequency of the urology patient is in a normal state and there is no frequent urination.

5. The postoperative monitoring system for urology patients based on multi-algorithm fusion according to claim 1 is characterized by: The data processing unit (3) performs calculation processing on urine data of urology patients with frequent urination, specifically including: Randomly extract the urine data of a urology patient with frequent urination, collect the first urine of the urology patient in the morning separately, and use a urinary urine meter to record the urine volume of the urology patient's first urine in the morning, recorded as , and then use a hydrometer to measure the mass of the first morning urine of urology patients, recorded as , then the urine specific gravity of urology patients is: ； in, It is expressed as the weight of the influence of ambient temperature on the urine specific gravity of urology patients. Blood samples of urology patients are collected. The serum creatinine and urea nitrogen in the blood samples of urology patients are measured by biochemical analysis instruments to obtain the concentrations of serum creatinine and urea nitrogen in the blood of urology patients. The serum creatinine clearance rate and urea nitrogen clearance rate of urology patients are calculated according to the concentrations of serum creatinine and urea nitrogen in the blood of urology patients.

6. The postoperative monitoring system for urology patients based on multi-algorithm fusion according to claim 1 is characterized by: The data processing unit (3) performs calculation processing on the blood data of urology patients with frequent urination, specifically including: The concentration of serum creatinine in the blood of urology patients is recorded as , the age of urology patients is recorded as , the serum creatinine clearance of urology patients was calculated as follows: ； in, Expressed as serum creatinine clearance, is represented as a constant, v is the number of urology patients, a is the serum creatinine and The relationship between the minimum and maximum values ​​of the ratio of and 1, It is expressed as the gender correction factor; Blood samples were collected from the veins of patients in the Department of Urology, and the collected blood samples were placed in special blood tubes. The urea nitrogen concentration in the blood samples of patients in the Department of Urology was measured using a biochemical measuring instrument and recorded as , the urine collection time of urology patients is recorded as , the concentration of urea nitrogen in urine of urology patients was extracted through experimental analysis and recorded as , the urea nitrogen clearance rate of urology patients was calculated, namely: 。 7. The postoperative monitoring system for urology patients based on multi-algorithm fusion according to claim 1 is characterized by: The data processing unit (3) compares the calculation result with the health prediction coefficient threshold, and predicts the postoperative health status of the urology patient according to the comparison result, specifically including: The urine specific gravity, serum creatinine clearance rate, and urea nitrogen clearance rate of urology patients were comprehensively calculated and processed to obtain the health prediction coefficient of urology patients, namely: ； in, Expressed as the health prediction coefficient for urology patients, , , They are expressed as the weight coefficients of urine specific gravity, serum creatinine clearance, and urea nitrogen clearance, respectively. Based on historical data, the health prediction coefficient threshold for urology patients is set as , The value range is ,when When When , it is indicated that the health condition of the urology patient is poor, and the number of the urology patient with poor health condition is sent to the monitoring alarm unit (4).

8. The postoperative monitoring system for urology patients based on multi-algorithm fusion according to claim 7 is characterized by: The monitoring alarm unit (4) is used to receive the number of a urology patient with poor health, and to monitor the urology patient with poor health for 72 hours. If the health condition of the urology patient does not return to an excellent state within 72 hours, an alarm is issued.

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