677 results about "Treatment effect" patented technology

The invention belongs to the technical field of tunnel construction geological disaster prevention and control, and discloses a multi-source data fused refined treatment decision-making method for a complex stratum disaster source, which comprises the following steps: collecting and fusing multi-source geological data, and constructing a three-dimensional geological model; generating a disaster source risk dynamic assessment and treatment scheme; based on a fluid-solid coupling similarity theory, verifying the preliminary treatment scheme by adopting a physical model test, and determining an optimal treatment scheme; the optimal treatment scheme is executed, and the treatment process is dynamically regulated and controlled; after treatment, the treatment effect is evaluated through posterior data, and the effect data is fed back to the three-dimensional geologic model and the knowledge base, so that the dynamic updating of the model and the self-learning of the decision-making system are realized. By the adoption of the treatment decision method, the problems that a traditional method depends on experience, information is one-sided, and treatment is extensive are solved, advanced accurate forecasting and refined and personalized treatment of complex stratum disaster sources are achieved, and the safety and efficiency of tunnel construction are remarkably improved.

The invention relates to the technical field of treatment scheme optimization, and provides an emergency treatment critical patient first-aid path optimization method and system based on big data, and the method comprises the steps: building a standardized event sequence through extracting historical diagnosis and treatment data of a hospital information system, and analyzing the time sequence correlation between events through a graph structure mining technology, key diagnosis and treatment nodes and high and low frequency paths are identified, and a layered first-aid path state transition network is constructed based on the key diagnosis and treatment nodes and high and low frequency paths. When a real-time patient is processed, the system matches an electronic health record of the patient with a network core state, dynamically plans a subsequent standard transfer path, and avoids a low-frequency risk path marked as a taboo, so that an emergency path optimization scheme of risk avoidance and path dynamic optimization is realized, and the treatment efficiency of emergency critical patients is improved. The treatment effect is improved, and the bad prognosis risk is reduced.

The invention relates to the field of medical health and artificial intelligence, and discloses a cancer patient low-molecular heparin individualized dose dynamic optimization method based on reinforcement learning, and the method comprises the steps: S1, collecting multi-dimensional clinical data of a cancer patient, carrying out the preprocessing, carrying out the enhancement of the preprocessed data, and generating time sequence synthesis data; s2, based on the multi-dimensional clinical data and the time sequence synthesis data, constructing a reinforcement learning environment, including defining a state space, an action space and a reward function; s3, constructing an environment adaptive deep reinforcement learning EA-DRL model as a dose optimization model; performing model training and optimization in the reinforcement learning environment until convergence and obtaining an optimal dose decision strategy; and S4, inputting real-time dynamic clinical data of a patient to be decided into the trained dosage optimization model, and outputting individualized low molecular heparin LMWH administration dosage recommendation. Individualized precise administration is realized, and the treatment effect and the clinical medication safety are improved.

The invention discloses a hydrogel-acellular matrix composite patch containing functionalized extracellular vesicles and a preparation method of the hydrogel-acellular matrix composite patch. The composite patch comprises a hydrogel layer and an acellular pericardium matrix material layer, and an extracellular vesicle-macrophage membrane fusion body (EV-MM) is entrapped in the cross-linked hydrogel. From two aspects of improving the targeting of EVs to the cardiac infarction part and enhancing the retention of the EVs at the cardiac infarction part, the distribution condition of the EVs at the cardiac infarction part is improved, so that the action efficiency of the EVs is improved, and the treatment effect is improved.

The invention relates to the field of oral clinical orthodontics, and discloses a method for generating an oral correction scheme, comprising: acquiring a face composite model of an initial state of a patient, the face composite model comprising a dental jaw portion and a soft tissue portion; respectively obtaining P correction schemes of the patient, wherein each correction scheme corresponds to a target state of tooth jaw movement; correspondingly obtaining face prediction models of P target states according to the tooth jaw movement and deformation face composite models of the P correction schemes; and in the P correction schemes, selecting an optimal correction scheme as a target correction scheme according to evaluation of the face prediction model in the target state. The invention further discloses electronic equipment and a storage medium, the orthodontic scheme is determined by predicting the appearance, the predicted result is closer to the real effect after orthodontic treatment, more bases are provided for the patient to select the orthodontic scheme, the patient can conveniently determine the ideal orthodontic scheme from the face expression, and a more preferable orthodontic scheme is generated.

The invention discloses a treatment monitoring method and system for a percutaneous ear vagus nerve stimulation device, and the method comprises the steps: carrying out the multi-source treatment situation monitoring of a target user in a treatment course, obtaining the multi-source treatment situation monitoring data, and constructing a multi-mode treatment situation feature; real-time treatment situation analysis is carried out according to the multi-mode treatment situation features, and real-time treatment situation analysis information is generated; performing dynamic state classification based on the real-time treatment situation analysis information, evaluating the treatment condition of the target user in the current treatment course, and generating a treatment regulation and control scheme to perform treatment management and control on the current treatment course when an abnormal treatment condition exists; and constructing a treatment situation prediction model, obtaining the regulated and controlled multi-mode treatment situation characteristics, generating a floating regulation and control boundary in combination with the treatment situation prediction model, and dynamically correcting the diagnosis and treatment regulation and control scheme by using the floating regulation and control boundary to ensure the curative effect and treatment safety. The treatment effect can be accurately perceived; and the treatment safety is ensured.

The invention relates to the technical field of medical image processing, and discloses a radiotherapy patient body surface contour monitoring and correction method and system, and the method comprises the steps: obtaining original point cloud data from the body surface of a patient through combining a three-dimensional scanning device, a stereoscopic microscope and an infrared sensor, and generating a high-resolution body surface contour model, dividing the body surface into a plurality of monitoring blocks based on a preset anatomical region division rule; local dynamic change features are extracted through time sequence analysis, correction guidance parameters are generated in combination with positioning information of an offset area, and a correction model is constructed to obtain a collaborative correction instruction set. And finally, correction is carried out based on the collaborative correction instruction set, whether correction succeeds or not is judged through a non-rigid registration technology, and if not, adjustment is carried out until correction succeeds. According to the method, the dynamic change of the body surface contour of the patient can be monitored and corrected in real time, accurate treatment positioning in the radiotherapy process is ensured, and the treatment effect and safety are improved.

The invention discloses a method for testing and evaluating safety effectiveness of a digital therapy product for mental diseases, which relates to the technical field of mental diseases and comprises the following steps: S1, evaluating objective indexes of the digital therapy product; s2, testing a man-machine interaction feedback mode; s3, mapping measurement of product output content and patient feedback; and S4, performing real-time adjustment and optimization. According to the method for testing and evaluating the safety effectiveness of the mental disease digital therapy product, aiming at the mental disease digital therapy product, a special testing and evaluating system is constructed, objective indexes and output contents of the digital therapy product are tested, and in the interaction process of a patient and the product, the safety effectiveness of the product is tested. By detecting data such as micro-expression, electroencephalogram signals and eye movement signals of a user in real time, feedback of a patient is obtained in real time, corresponding relation analysis is conducted on the feedback and output content of a digital therapy product, therefore, the treatment effect of the product can be accurately evaluated, and the accuracy of mental disease diagnosis and treatment is improved.

The invention provides a mine water softening and dosing system and a control method, and belongs to the technical field of water treatment equipment, and the mine water softening and dosing system comprises water treatment equipment, a detection mechanism, an adjusting mechanism and a control unit. Through cooperation of the detection mechanism and the control unit, feed-forward detection and feed-back detection of softening treatment of mine water are achieved, and the control unit can achieve determination of the initial feeding amount of drugs and adjustment of subsequent feeding according to the feed-forward detection and the feed-back detection; the flow, alkalinity and pH value of inlet water and outlet water as well as the turbidity and alumen ustum image of the outlet water are detected at the same time, and the control system can comprehensively sense the water quality change and the treatment effect according to the detection result, so that the refined and automatic adjustment of the addition of various medicaments is realized, the dependence on human eye observation and manual test is reduced, and the operation is simple and convenient. The intelligent level and the operation efficiency of the whole water treatment process are improved.

The invention discloses an application of imatinib mesylate in preparation of a targeted therapeutic drug for gastric signet ring cell carcinoma. The imatinib mesylate has an obvious inhibition effect on the growth of six patients with the pathological type of gastric signet-ring cell carcinoma, the inhibition effect is more obvious along with the increase of the concentration, the concentration and dosage dependency relationship is shown, and the half inhibitory concentration (IC50) is obviously smaller than that of a positive control drug apatinib. The medicine can play a targeted therapeutic role on the gastric signet ring cell carcinoma, and is small in toxic and side effects, economical, practical and low in cost.

The invention discloses a topological mapping monitoring and correcting method for abnormal scapular brachial rhythm after breast surgery, and belongs to the field of medical rehabilitation and computer vision. The method comprises the following steps: acquiring a trunk dynamic three-dimensional point cloud and infrared thermal imaging data; constructing a multi-layer collaborative dynamic topology network fusing a skeleton structure, soft tissue deformation and physiological activeness; extracting an intrinsic motion field and comparing the intrinsic motion field with the ideal model to generate deviation measurement; and calculating a dynamic instability index, comparing the dynamic instability index with a threshold value, and triggering optimization energy correction path calculation and instruction output. According to the method, the multi-dimensional topological mapping and dynamics prediction technology is adopted, accurate recognition and feed-forward early warning of motion abnormity under the influence of deep tissue adhesion after the breast surgery can be achieved, rehabilitation of a patient is guided through an energy consumption minimization path, and the accuracy of shoulder joint function remodeling and the individualized treatment effect are improved.

The invention discloses trichoderma Guizhou GZMT12 and application thereof, and belongs to the technical field of microorganisms. The preservation number of the trichoderma Guizhou GZMT12 screened by the invention is CGMCC (China General Microbiological Culture Collection Center) NO. 42152. According to the present invention, the bacterial strain can provide inhibition effects on seven pathogenic bacteria such as Rhodococcus solani Kuhn, Botryosphaeria dothidea, Alternania alternania, Phomopsis litsea, Colletotrichum truncatum, Phytotrichum capsici, and Phytotrichum nitianae, and further has advantages of good prevention and treatment effect, wide antibacterial spectrum, wide application range, and the like.

The invention relates to the field of line loss treatment, in particular to a power distribution network line loss intelligent diagnosis and autonomous treatment method and system. The method comprises the following steps: collecting various data and carrying out restoration and normalization processing; checking the space consistency of topology, ledgers and archives through a block chain smart contract, and calculating a load space-time matrix; constructing a line loss gene map, and identifying an abnormal line; generating and executing a treatment strategy; and updating the gene map according to the treatment effect and carrying out closed-loop iteration. The problems that in the prior art, data processing is difficult, topology and ledger are inconsistent, and line loss diagnosis and treatment are not intelligent are solved, whole-process intelligence and automation from data collection to treatment are achieved, and the efficiency and accuracy of power distribution network line loss management are effectively improved.

The invention discloses an engineered bionic nucleic acid nano diagnosis and treatment agent as well as a preparation method and application thereof, relates to the technical field of biological targeting, and aims to solve the problems that an engineered macrophage membrane modified bionic nucleic acid nano diagnosis and treatment agent for oral squamous cell carcinoma is lacked in the prior art, and the curative effect on invasive tumors of the oral squamous cell carcinoma is poor. According to the engineering bionic nucleic acid nano diagnosis and treatment agent, a cationic lipid nucleic acid medicine is wrapped with a macrophage membrane, and PD1 shown as SEQ.ID.NO.1 is stably expressed on the macrophage membrane; the cationic lipid nucleic acid medicine is prepared by loading Cip2a siRNA (small interfering Ribonucleic Acid) on a cationic liposome. The bionic nucleic acid nano diagnosis and treatment agent has a huge application prospect in preparation of oral squamous cell carcinoma diagnosis kits and medicines.

The invention relates to the field of medical health management, and discloses a thyroid-oriented whole-cycle health management method, which comprises the following steps of: firstly obtaining thyroid multi-source information data of a target population to form a data set, then extracting fusion features to generate a time sequence feature vector, and analyzing and calculating occurrence risk factors and scores of feature dimensions in a preset time window according to the time sequence feature vector; a comprehensive risk score is obtained through time sequence analysis, risk grades are divided, high-risk individuals are marked, and a personalized screening strategy is generated; then combining historical data of high-risk individuals, analyzing key driving paths with high risk scores, associating an external knowledge base to predict recurrence frequency, and finally dynamically adjusting and optimizing screening and intervention strategies according to the recurrence frequency; precise evaluation, grading and personalized management of individual thyroid health risks are achieved, then risk key driving paths are found out, recurrence is predicted, and the strategy is dynamically optimized to improve the disease prevention and treatment effect.

The invention relates to the technical field of highway foundation treatment and monitoring, and discloses a method for evaluating the collapsibility treatment effect of a highway loess original foundation. The method comprises the following steps: establishing an initial model based on engineering data, and performing dynamic correction by using real-time monitoring data after construction to generate a collapsibility dynamic response model; and constructing a comprehensive evaluation feature field by fusing time-space superposition results of real-time data and historical exploration data. And carrying out region division and difference calculation on the characteristic field, generating a response difference field and calibrating a potential collapse abnormal region. And iteratively correcting model parameters based on abnormal region features, and introducing virtual load working conditions to simulate collapsing development processes under different loads. And finally, outputting an evaluation result through the visual interaction model. According to the method, the collapsibility evaluation is changed from static state to dynamic state and from current situation analysis to development prediction, and the timeliness, accuracy and engineering early warning capability of the evaluation are improved.

The utility model relates to the technical field of medical instruments, in particular to a cross-shaped bronchial valve. The cross-shaped bronchial valve comprises a main body support (1) and a one-way valve (2), the main body support (1) and the one-way valve (2) are integrally connected, and the one-way valve (2) is located in the main body support (1). The utility model has the advantages of simple manufacturing process, high yield and obvious treatment effect.

The invention relates to the technical field of treatment and healing of depression patients, and discloses a depression patient AI treatment and healing interaction and note generation method based on natural language processing, which comprises the following steps: step 1, constructing a natural language processing model; step 2, psychological assessment and emotion analysis; 3, a personalized chemotherapy healing interaction strategy; step 4, a note generation function; and 5, evaluating and feeding back the treatment effect. According to the depression patient AI healing interaction and note generation method based on natural language processing, depression healing is converted into an online reinforcement learning problem, the rehabilitation effect of the patient is taken as an instant reward, an interaction strategy is taken as an action space, the quality of a strategy library is automatically improved through continuous iteration, and compared with static script type dialogue, the method has the advantages that the efficiency is greatly improved; the system can dynamically adjust parameters according to three factors of emotion level improvement, interaction duration and satisfaction, achieves the purpose of'understanding patients more than using ', enables a strategy library to be periodically and globally retrained after a large amount of crowd data is converged, remarkably shortens the single-time healing effectiveness time, and improves the overall rehabilitation efficiency.

The invention discloses a method for controlling a high-frequency output device based on a pressure-sensitive sensor, a treatment head and the high-frequency output device, and relates to the technical field of high-frequency output devices.The pressure-sensitive sensor is arranged on the treatment head of the high-frequency output device, and the treatment head is used for making contact with the skin; the method comprises the following steps: S10, acquiring a contact signal collected by a pressure-sensitive sensor, wherein the contact signal is generated based on contact between a treatment head and skin; and S20, determining the contact condition of the treatment head and the skin according to the contact signal so as to control the high-frequency output device to output the working power and the working frequency of the corresponding magnitude to the treatment head. The method provided by the invention aims to reduce the internal space occupation of the treatment head, improve the treatment effect of the treatment head, and improve the problem that the treatment head of the high-frequency output device slides too fast in the use process to cause poor treatment effect or unobvious treatment effect.

The invention belongs to the technical field of medical instruments, and particularly relates to a flexible scoliosis orthopedic and monitoring brace based on a sensor, comprising: a flexible fabric garment worn on a patient; the supporting units are detachably connected to the flexible fabric clothes, and the supporting units correspond to the lateral convex vertexes and the lateral convex vertexes opposite to the lateral convex vertexes of spine bending of the patient; the pressure detection mechanism is arranged on the supporting unit, and the pressure detection mechanism is used for detecting pressure data applied to the supporting unit by the side convex vertex and the side convex opposite side vertex of the spine of the patient; the collecting and processing mechanism is arranged on the flexible fabric clothes, and the collecting and processing mechanism is electrically connected with the pressure detection mechanism; and the data terminal is in communication connection with the acquisition processing mechanism and is used for outputting a processing result of the acquisition processing mechanism on the pressure data. According to the orthopedic brace, the orthopedic force and the posture of a patient can be detected in a non-invasive and non-radiation mode in real time, and the orthopedic brace has great significance in improving the scoliosis treatment effect and improving the patient experience.

The invention discloses a clinical laboratory data rapid processing and sharing method based on big data, and relates to the technical field of medical information. Through a big data storage architecture and a parallelization processing technology, the data are stored in a fragmented mode and are cleaned and integrated in parallel, mass data generated by the clinical laboratory can be efficiently processed, the data processing time is remarkably shortened, the timeliness requirement of clinical rapid diagnosis is met, data association is mined through a big data analysis algorithm, and the data association efficiency is improved. Potential laws such as disease trend and treatment effect are extracted from test data, and quantitative support is provided for clinical diagnosis; the visual presentation mode improves the inspection result interpretation efficiency, is convenient for doctors to quickly acquire key information and construct a safe sharing platform, realizes quick and convenient sharing of clinical laboratory data within an authorization range, meets the requirement of quickly acquiring results clinically, meets the medical data compliance requirement, and is constructed based on a big data technology, so that the medical data interpretation efficiency is improved. The method can be conveniently expanded to adapt to the increase of future data volume and the increase of processing requirements.

The invention relates to the technical field of medical rehabilitation treatment, and discloses a self-adaptive functional electrical stimulation system based on bimodal feedback and a control method. The system comprises a main control module, a stimulation output module, an electroneurographic signal detection module, a biological impedance test module and a safety isolation module. The main control module comprises a safety current determination unit, a stimulation control unit and a dynamic calibration unit which are respectively used for determining an individualized initial safety current based on neural action potential feedback, controlling treatment stimulation output and dynamically calibrating a safety current upper limit according to biological impedance change before and after stimulation. According to the invention, through bimodal feedback of electroneurographic signals and biological impedance, individualized calibration and real-time dynamic optimization of stimulation parameters are realized, and the problem that the treatment effect and safety are difficult to guarantee due to the fact that traditional functional electrical stimulation depends on experience setting and lacks physiological feedback is solved; and the accuracy, safety and adaptability of rehabilitation treatment are remarkably improved.

The invention discloses a liver cancer prognosis risk assessment method and system based on data analysis, and relates to the technical field of intelligent medical treatment. The method is realized through the following steps: firstly, acquiring and standardizing clinical, image, genome and other multi-modal data of a patient; then constructing an individualized dynamic causal graph based on the medical knowledge base, and dynamically adjusting a causal edge weight by using a graph attention network; inputting the causal diagram into a prognosis evaluation model to obtain a basic risk trajectory, performing intervention simulation by modifying a treatment node state, and calculating an anti-factual risk trajectory to quantify an individual treatment effect; and finally, outputting a risk assessment result and generating natural language interpretation containing the quantitative contribution degree. The corresponding system comprises a data sensing layer, a causal calculation layer, an intelligent decision-making layer and an interactive presentation layer. According to the method, causal reasoning and deep learning are creatively combined, and dynamic, accurate and interpretable prognosis evaluation and intervention guidance of the liver cancer are realized.

The invention belongs to the technical field of medical service information sharing, and discloses a gastrointestinal medical service information sharing system based on artificial intelligence. The system comprises a collaborative learning modeling module, a patient digital portrait generation module, a personalized digital twinborn body construction module, a treatment effect prediction module, a personalized strategy generation module, a real-time interaction feedback module and a self-adaptive optimization iteration module, and is characterized in that a feature extraction model is trained based on an original data set; generating a feature vector according to the original data set, constructing a patient digital portrait database based on the feature vector, constructing a digital twinborn body of a specified patient, obtaining a prediction quantification report, obtaining a user health management report, obtaining a user interaction data set, and obtaining a new agent model. The method has the remarkable advantages of being high in basic data supporting performance, accurate in dynamic prediction, specific in health suggestion and high in self-adaptive optimization capacity.

The application relates to a distributed collaborative treatment method and device of an electric energy quality treatment device, a computer device and a storage medium. The method comprises the following steps: initializing initial state information of the treatment device; acquiring initial state information of adjacent treatment devices to obtain adjacent state information; determining updated state information based on the initial state information and the adjacent state information; in the case that the updated state information satisfies a constraint condition of the treatment device, continuously updating the updated state information until the compensation capacities of all the treatment devices are consistent and the electric energy quality treatment effect of the power distribution network reaches a global optimum; determining a compensation strategy based on the updated updated state information; and performing electric energy quality treatment on the treatment device according to the compensation strategy. Through the above method, each treatment device can not only treat local electric energy quality problems, but also ensure that the compensation capacity distribution of the entire power distribution network tends to be consistent, the robustness of the treatment system is enhanced, and the effect of the treatment system is improved.

The application discloses a diagnosis data processing method and device and a storage medium, relates to the technical field of data processing, and comprises the following steps: acquiring a heart-lung auscultation sound signal collected by a collection device and a traditional Chinese medicine (TCM) diagnosis standard description received based on an interactive interface; determining a western medicine quantitative diagnosis index according to the heart-lung auscultation sound signal, and correlating a TCM syndrome differentiation type according to the TCM diagnosis standard description and the western medicine quantitative diagnosis index; and generating and outputting a TCM medication recommendation scheme corresponding to a diagnosis result according to the western medicine quantitative diagnosis index and / or the TCM syndrome differentiation type. The application provides strong objective evidence and quantitative reference by differentiating the TCM syndrome differentiation type according to the auscultation sound. When diagnosing and treating diseases, the TCM highly depends on and integrates the auscultation result, and takes the auscultation result as one of key bases for differentiation, prescription selection, treatment effect evaluation and prognosis.

The present application relates to the field of biological glass, in particular to a kind of composite biological glass and its preparation method and application.The present application uses rhBMP-2, doped antibacterial ion 45S5 bioactive glass and polyethylene glycol-lactide-glycolide polymer compound preparation slow-release antibacterial biological glass, the rhBMP-2 can occur synergistic effect with doped antibacterial ion 45S5 bioactive glass, compared with homologous growth factor can play more optimal synergy with antibacterial ion, so as to have higher antibacterial property and osteogenesis, while having longer slow-release effect in polyethylene glycol-lactide-glycolide polymer.The composite biological glass provided by the present application overcomes the pain points of the prior art for the treatment of oral bone defect, improves the treatment effect, reduces the amount of antibiotic use, and reduces the risk of infection.

The invention relates to the technical field of traditional Chinese medicines, and discloses application of an active ingredient of shiny-leaved yellowhorn leaves in preparation of a medicine for treating hyperuricemia. The xanthoceras sorbifolia leaf active ingredients comprise quercitrin, rutin and myricetin; the content of quercitrin is 0.2508 mg / g to 0.6719 mg / g, the content of rutin is 0.6707 mg / g to 1.5831 mg / g, and the content of myricetin is 0.8002 mg / g to 3.4858 mg / g. According to the invention, myricetin, quercitrin and rutin are determined as core effective substances of shiny-leaved yellowhorn leaves for treating hyperuricemia for the first time; the multi-target and multi-channel action mechanism is disclosed; meanwhile, network pharmacological analysis shows that the three components have high connectivity in a network and jointly act on key targets such as XOD, ACE, AKR1B1 and TNF, it is prompted that the three components do not act singly, but play a treatment role through multi-target and multi-channel cooperation, the traditional'single target-single drug 'thinking is changed into a'multi-component-multi-target-multi-channel' system regulation mode, and the treatment effect is improved. A new thought is provided for comprehensive treatment of the hyperuricemia.

The application relates to a high-molecular developing ring, a preparation tool and a preparation method thereof and application. The developing ring comprises a ring structure and a developing agent. The ring structure comprises an outer ring surface, an inner ring surface and a recess on an inner surface. The developing agent is contained in the ring structure and comprises one or more metal powders. The preparation tool of the developing ring comprises a main body, a pressure assembly and a fixing assembly, and can rapidly prepare the high-molecular developing ring. The preparation method comprises mixing a high-molecular polymer and the developing agent, preparing a film from the mixed material, fixing, exhausting and heating and shaping the film, taking out the developing ring after cooling and carrying out subsequent treatment. The high-molecular developing ring has good elasticity and flexibility, has strong connection performance with a catheter, is simple to prepare and can effectively improve diagnostic accuracy and treatment effect.

The present application relates to the technical field of orthodontic monitoring analysis, in particular to a real-time monitoring analysis system for orthodontic treatment, in which a contact state information acquisition module and a displacement response information acquisition module generate a contact state change sequence and a displacement response change sequence respectively, a time sequence coupling relationship construction module constructs a time sequence coupling feature between tooth displacement response and treatment contact state based on the two sequences, an effective treatment effect identification module obtains a first treatment effect interval based on the time sequence coupling feature, an abnormal effect stripping and treatment advancement evaluation module further obtains an abnormal contact segment and a failed effect segment, and obtains a second treatment effect interval and a treatment advancement state, and a monitoring analysis application module determines a corresponding advancement level according to the treatment advancement state and generates a monitoring analysis result, which is beneficial to distinguishing a treatment effect process related to the effective movement of the target tooth position and an interference process from the continuous monitoring data, and makes the monitoring analysis result closer to the actual treatment advancement situation.