95 results about "Treatment management" patented technology

The invention discloses a coronary artery patient exercise tolerance treatment management system based on a random control test, and relates to the technical field of coronary artery patient exercise tolerance treatment management, and the coronary artery patient exercise tolerance treatment management system comprises a scheme recommendation module and an effect feedback module, the scheme recommendation module comprises a data acquisition unit, a scheme recommendation unit and an archive management unit; the data acquisition unit comprises a physiological index monitoring device. According to the coronary artery patient exercise tolerance treatment management system based on the random control test, the exercise tolerance improvement condition of a patient in the treatment process is evaluated through the definite physiological indexes, exercise performance indexes and subjective feeling indexes of the effect feedback module; multi-dimensional evaluation is achieved, and the movement effect and the body reaction of the patient can be comprehensively known; the exercise scheme of the patient can be optimized and adjusted according to the evaluation result and the health file of the patient, and a preferred exercise scheme is generated.

The invention discloses a digital intelligent tumor prevention and treatment management platform and management method, and relates to the technical field of intelligent medical treatment, and the method comprises the steps: collecting the multi-modal data of a patient in real time, carrying out the standardized cleaning and space-time alignment processing, and generating a space-time tagging data set; inputting the multi-modal joint feature representation into an anti-fact inference engine, simulating potential effects under intervention of different treatment schemes, calculating individual processing effects, and generating an anti-fact rehabilitation suggestion set; according to the anti-fact rehabilitation suggestion set, a dynamic causal enhancement decision model is constructed, real-time physiological data feedback of the patient is continuously received through a near-end strategy optimization algorithm, and a treatment scheme is dynamically adjusted. According to the method, through multi-modal data space-time alignment and feature fusion, in combination with a tumor biological mechanism and a machine learning algorithm, the accuracy and clinical credibility of individualized tumor treatment scheme recommendation are remarkably improved.

The invention belongs to the technical field of cutting fluid wastewater treatment supervision, and particularly relates to a cutting fluid wastewater treatment system for machine tool accessory processing, which comprises a wastewater step-by-step treatment unit, an in-out online monitoring unit, a pollution analysis unit, a wastewater treatment management and control analysis unit and an intelligent management end, various pollutants in cutting fluid wastewater are removed by integrating various treatment technologies through the wastewater step-by-step treatment unit, and the in-out online monitoring unit samples the cutting fluid wastewater before treatment and purified water after treatment and collects monitoring data of various pollution parameters in corresponding sampled liquid. The pollution analysis unit judges the pollution condition based on the monitoring data of each pollution parameter in the corresponding sampling liquid, and the wastewater treatment management and control analysis unit judges whether wastewater treatment is abnormal or not through analysis and accurately evaluates the treatment management and control performance for cutting fluid wastewater treatment. The treatment efficiency and the treatment effect of the cutting fluid wastewater can be guaranteed, and the intelligent and automatic levels are high.

Computer-implemented methods of predicting the QTc of a subject in response to administration of QTc prolonging drugs, especially those that are dose adjusted for renal function, such as antiarrhythmic drugs. Included is a method of administering an antiarrhythmic drug to a subject, comprising: providing as inputs into a treatment management application i) Baseline QTc and ii) at least a Creatinine Clearance, Weight, Age, Sex, or Heart Rate; the treatment management application providing as an output one or more predicted QTc or predicted QTc range for the subject expected from administration of a 1-5 hour IV dose, alone or followed by one or more oral doses, of an antiarrhythmic drug to the subject; and upon the one or more QTc or QTc range being within an acceptable range, administering the 1-5 hour IV dose to the subject optionally followed by administering one or more of the oral doses to the subject.

The invention discloses an AI-based child nebulization treatment management system and method, and relates to the field of treatment scheme management, and the system comprises a management and control module which is used for obtaining the medical general archive access and read-write authority of a target medical place, carrying out the editing and sending of a control instruction for each functional module, and sending the control instruction to the medical general archive access and read-write authority to the medical general archive access and read-write authority to the medical general archive access and read-write authority; summarizing and storing working results and analysis data of the functional modules; the data acquisition module is used for acquiring physique data, illness state data and treatment plans of the patient in the current period based on a medical general archive; the feature selection module is used for performing feature recognition on the data acquired by the data acquisition module by adopting a multi-modal feature coupling algorithm; by collecting and analyzing physical characteristics, disease progression, historical treatment response and feedback information of a patient in real time, a personalized treatment scheme is formulated according to specific conditions of each child, a general treatment mode is avoided, unnecessary side effects are reduced, and treatment effectiveness and safety are improved.

The invention relates to the technical field of ophthalmic disease diagnosis, and discloses an ophthalmic disease intelligent diagnosis and treatment management method and system based on a large model, and the method comprises the steps: obtaining a fundus image of a to-be-diagnosed patient; inputting an eye fundus image of a patient to be diagnosed into the eye fundus disease classification segmentation model to obtain an eye disease category and a disease marker segmentation result corresponding to the eye fundus image to be diagnosed; inputting the ophthalmic disease category, the disease marker segmentation result and the clinical record of the to-be-diagnosed patient into a large language model to obtain a fundus disease treatment management scheme of the to-be-diagnosed patient; the large language model is based on an LLaMA model, and an LoRA layer is added on each multi-head attention layer of the LLaMA model; an Adapter layer is added between each feed-forward layer and a normalization layer of the LLaMA model. According to the invention, quick diagnosis and treatment of ophthalmic diseases can be realized, the diagnosis efficiency is improved, and the doctor seeing burden of patients is relieved.

The invention relates to a smart hospital collaborative diagnosis and treatment management method and system, and the method comprises the steps: receiving the appointment registration information of a patient, building a data mapping relation with a hospital information system based on the appointment registration information, and generating a corresponding treatment identifier; after the patient arrives at the hospital, information of the sign-in patient is collected, a sign-in sequence is established, and according to appointment registration information and diagnosis and treatment service data parameters corresponding to the sign-in patient, a treatment serial number is dynamically distributed and a waiting prompt is pushed; after the doctor receives the diagnosis, generating an examination item list based on the preliminary diagnosis information input by the doctor, obtaining the real-time state and queuing data of equipment required by each examination in the examination item list, constructing an execution time window of examination items, generating an optimal examination sequence, and pushing an examination guide path to the patient terminal; and after the patient finishes seeing a doctor, generating a personalized propaganda and education task list according to the diagnosis and treatment information of each stage, and pushing the personalized propaganda and education task list to the patient terminal. The method has the effect of improving the hospital operation efficiency.

The invention relates to the technical field of hepatitis diagnosis and treatment management, and discloses a block chain-based hepatitis patient full-period management method. The method comprises the following steps: creating a patient identity chain in a block chain network, and storing patient registration data and initial diagnosis information; full-cycle diagnosis and treatment data of a patient are obtained and divided into clinical examination, iconography, medication records and life sign monitoring data. Performing multi-dimensional cleaning on the clinical examination data to generate a standardized data set; inputting the iconography data into a pre-trained hepatitis feature extraction model, and outputting a liver injury feature set; verifying the integrity of the medication record, and generating a non-tampering medication time sequence chain; comparing the life sign monitoring data with preset health reference parameters to generate a sign deviation coefficient set; according to the method, data safety and traceability are guaranteed through the block chain, diagnosis and treatment data quality is improved through multi-dimensional data processing, patient privacy is protected, and reliable support is provided for full-period management of hepatitis patients.

The invention discloses a wound healing degree evaluation method and system based on multiple models, and relates to the technical field of medical treatment. According to the method, the wound edge, the wound color, the wound type and the outer layer dressing color of the patient are combined, the multiple neural network models are used for comprehensively detecting the wound, intelligent detection of the wound of the patient is achieved, medical staff are assisted in treatment management of the wound of the patient, the burden of the medical staff is relieved, and the infection risk of the wound of the patient is reduced.

The invention relates to the technical field of wastewater treatment management, and discloses an industrial domestic wastewater fine treatment process management method, which comprises the following steps of: accessing an online / offline data source, and finishing time synchronization and data cleaning; state estimation and soft sensing are carried out; constructing a data quality score and anomaly / drift detection; describing a process topology and a material / energy flow by using a directed graph, defining a unified constraint template, and compiling compliance knowledge into executable constraints; mechanism and data driving are coupled at a unit level, combined propagation is carried out at a process line level, and federated migration and parameter aggregation are carried out at a plant station group level; a Pareto strategy is optimized and generated under the goals of effluent indicator, energy consumption, chemical consumption, sludge, carbon strength and maintenance risk. Under the condition that hardware transformation is not needed, operation toughness and performability can be enhanced, the risk that manual adjustment participates in misoperation is reduced, trans-factory multiplexing and governance transparency is improved, and continuous adaptation and compliance closed loop of a strategy are kept under disturbance.

The invention discloses an adjustable stomach capsule treatment effect and body fat rate BMI intelligent management evaluation method, and relates to the technical field of stomach capsule treatment management, and the method comprises the following steps: setting an initial capacity adjustment amplitude and an initial capacity adjustment frequency of an adjustable stomach capsule according to basic health data of a patient; dynamic changes of gastric contents are monitored in real time through a built-in sensor of the gastric capsule, and monitoring data are sent to external equipment based on a wireless transmission technology. Through real-time data acquisition, feature quantitative analysis and intelligent prediction of a machine learning model, a sharp increment stage and a smooth increment stage can be distinguished in time, capacity adjustment amplitude and frequency are adaptively optimized through a fuzzy reasoning algorithm, a strategy of small-amplitude and high-frequency adjustment is adopted, and the capacity adjustment efficiency is improved. Not only is the discomfort of a patient possibly caused by sharp increase of stomach contents effectively relieved, but also the stability and individuation of the treatment process are ensured, and the safety, comfort and effect of treatment are improved.

The present disclosure provides a method and a system for respiratory treatment management. The method is implemented by a cloud platform. The method may comprise obtaining, based on a user terminal, at least one of user basic data, basic data of one or more respiratory devices, usage data of the one or more respiratory devices, or respiratory treatment data of a first subject. The user basic data may include basic data of the first subject or basic data of a second subject, and the respiratory treatment data may be obtained from a first monitoring device. The method also comprises generating target information based on at least one of the user basic data, the basic data of the one or more respiratory devices, the usage data of the one or more respiratory devices, or the respiratory treatment data; and sending the target information to the user terminal.

This invention belongs to the field of biomedicine and specifically relates to a method and kit for enriching circulating tumor cells (CTCs) in liver cancer using GPC3 in combination with MERTK. This method combines MERTK with traditional markers such as EpCAM, vimentin, and GPC3 to capture circulating tumor cells in liver cancer, achieving improved enrichment of CTCs. This method and its accompanying kit are widely applicable to early screening of liver cancer, postoperative recurrence monitoring, metastasis risk assessment, and personalized treatment management, and has promising prospects for clinical translation.

Described herein are methods and compositions related to methylation-based determination and characterization of subjects afflicted with various stages of cancer, including lung cancer and non-small cell lung cancer (NSCLC). Osimertinib is one of the most common precision therapies in non-small cell lung cancer but nearly all patients eventually progress due to somatic mutations and cellular plasticity that bypass the treatment. Defining the cellular plasticity state with epigenetics will help physicians know when to switch therapies.

The invention relates to the technical field of medical treatment, in particular to a chronic infectious disease patient management system, which comprises a registration module used for registering identity information, body information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information of a patient; the information database is used for storing disease condition characteristic data, historical treatment scheme data and precautions data of the chronic infectious diseases; the management platform comprises a doctor work station, a patient information station and a feedback module, and the doctor work station is used for obtaining cooperative information of a treatment scheme; the patient information station is used for generating a medicine taking scheme, a doctor seeing scheme and life precautions, and data of the patient information station is sent to the patient terminal, so that a patient obtains treatment and life related information; and the feedback module is used for inputting discomfort information of the patient. The treatment management efficiency of a hospital on the chronic infectious disease patient can be improved, and the chronic infectious disease patient can feed back own conditions in time.

The invention discloses a copper rod surface treatment management and control method, system and device and a medium. The method comprises the following steps that a first monitoring video of a target copper rod conveyed to a first monitoring area based on a preset conveying mode is obtained; the preset conveying mode is that the target copper rod rotates while being linearly moved and conveyed; decomposing the first monitoring video frame by frame to obtain a plurality of first surface images of the target copper rod; according to the multiple first surface images, the oxide skin area of the surface of the target copper rod is obtained; whether the oxide skin area is larger than a preset first threshold value or not is judged, if yes, a pickling control program is obtained, and if not, a polishing control program is obtained; judging whether a preset condition is met or not, if not, returning to obtain a first monitoring video of the target copper rod conveyed to the first monitoring area based on the preset conveying mode, and if yes, ending; wherein the preset condition is that the oxide skin area is 0, and the method has the advantage that the better surface treatment mode can be flexibly selected according to the size of the oxide skin area.

The present invention relates to the technical field of cloud platform construction, and in particular to a method for constructing an intravenous treatment management cloud platform. The method comprises the following steps: performing gene expression pathway enrichment analysis on the patient's venous system through gene sequencing technology, thereby obtaining gene expression data; performing gene expression spectrum analysis on the gene expression data and performing intravenous treatment response gene labeling, thereby obtaining a treatment response gene labeling set; using cloud computing technology to build an elastic computing resource scheduling system, thereby obtaining resource scheduling system data; performing node load balancing weight scaling based on resource scheduling system data and gene expression data, thereby obtaining resource balancing scaling data; performing multi-scale pyramid feature refinement on gene expression data, thereby obtaining gene image feature refinement data. The present invention realizes the method for constructing an intravenous treatment management cloud platform through node load balancing weight scaling and GPU heterogeneous computing acceleration processing.

This invention discloses a comprehensive wastewater treatment management system and method, belonging to the field of wastewater treatment technology. The method acquires historical water quality parameter sequences and real-time process parameters for each monitoring node; performs phase space reconstruction on the historical water quality parameter sequences to obtain the attractor trajectory matrix of each node; calculates the maximum Lyapunov exponent difference between nodes and constructs a dynamic correlation matrix; uses the dynamic correlation matrix to drive virtual particles to randomly walk in the node space, with the movement probability determined by the local entropy of the current node's attractor trajectory matrix; inputs the walking trajectory sequence into a deep neural network based on a residual structure to output the water quality exceedance risk index for each node at future times; and adjusts the operating parameters of the wastewater treatment equipment based on the risk index. This application can dynamically capture the nonlinear correlation characteristics between nodes, improving the accuracy and timeliness of risk prediction for wastewater treatment systems.

The invention relates to the technical field of tracing, and discloses a data-driven quality tracing and exception handling management and control method. The method comprises the steps of constructing a data source system covering the whole link from raw material purchasing to terminal delivery, collecting key quality data, converting the key quality data into standardized data assets through a unified format and a coding specification, and storing the standardized data assets into a quality tracing database. According to the method, a full-link data source system covering raw material purchasing to terminal delivery is constructed, unique identification and association of data of raw materials, equipment, products and the like are achieved in combination with a hierarchical association coding system, the problem of data islands in traditional management and control is thoroughly solved, when quality abnormity occurs, full-chain data can be rapidly penetrated through by means of a graph database association model, and the data quality is improved. According to the method, the abnormal source is accurately positioned, the completeness of the traced link reaches 100%, compared with a traditional manual traceability mode, the efficiency is improved by more than 80%, and the batch quality problem expansion caused by untimely traceability is avoided.

According to various embodiments of the present invention, disclosed is a method for providing a user interface-based orthodontic treatment management service. The method may comprise the steps of: obtaining patient registration information; obtaining orthodontic treatment management information of a patient corresponding to the patient registration information; and displaying a treatment schedule of the patient on a calendar included in each of a patient UI and a doctor UI on the basis of the orthodontic treatment management information.

The invention discloses a deep learning auxiliary prevention and treatment management platform for latent tuberculosis infection, and relates to the technical field of latent tuberculosis infection auxiliary prevention. Comprising a data acquisition and dynamic monitoring module, a data preprocessing and organization module, a conflict feature extraction and analysis module, a deep learning conflict evaluation module and a dynamic weight adjustment and optimization module, and it is ensured that each input can be dynamically monitored in the data fusion process, so that basic data is provided for subsequent conflict detection, feature extraction and intelligent evaluation. According to the method, multi-modal data fusion parameters are monitored in real time, conflict features are extracted, data source conflicts are intelligently evaluated by means of a deep learning model, the weight is dynamically adjusted, and the data fusion process is optimized. According to the scheme, the risk assessment accuracy of latent tuberculosis infection is improved, misdiagnosis and missed diagnosis are avoided, and precise medical treatment and personalized treatment implementation are promoted.

The invention discloses a hypertension prediction and diagnosis and treatment management system based on artificial intelligence and big data analysis, and the system comprises a hierarchical diagnosis and treatment decision model module which constructs a patient grouping and hierarchical diagnosis and treatment decision model based on historical data; the big data diagnosis and treatment scheme module is used for matching the model and generating a big data diagnosis and treatment scheme; the machine learning diagnosis and treatment scheme module generates a machine learning diagnosis and treatment scheme through a machine learning model by using the time sequence data; the diagnosis and treatment scheme fusion module fuses the two schemes to generate a final diagnosis and treatment scheme; and the diagnosis and treatment suggestion output module outputs a complete diagnosis and treatment report containing decision basis. According to the method, abnormal output is effectively filtered by fusing a big data statistical rule and machine learning individual recognition, the accuracy and reliability of diagnosis and treatment suggestions are improved, and meanwhile, the interpretability of the scheme and the doctor-patient trust and adaptability are enhanced by providing a decision basis.

The application discloses a kind of information management method and related equipment for thyroid cancer postoperative iodine 131 treatment patient.It comprises: based on the treatment management data of patient, scheduling model is constructed with patient waiting time, medical interaction cost and isolation bed vacancy time as optimization target, and bed capacity constraint, clinical urgency constraint, radiation protection constraint and medical availability constraint are established;Based on the scheduling model and the constraint condition, the joint optimization of patient reservation admission batch, isolation bed allocation and medical communication task is carried out, and the treatment scheduling result is generated;In the case where patient temporary adjustment, bed state change or iodine 131 treatment preparation abnormality is monitored, the treatment scheduling result is dynamically rearranged, so as to execute patient reminder, treatment connection and follow-up management according to the treatment scheduling result after rearrangement.It can solve the problems of low efficiency of reservation and resource coordination, fragmented medical records and lack of dynamic tracking mechanism in traditional information management mode.

The invention relates to the technical field of medical training, in particular to an intravenous infusion treatment management training method and system based on a patient safety target. Presetting an evaluation time point, and carrying out capability evaluation on the nursing personnel based on a plurality of preset evaluation indexes; performing statistical analysis on an evaluation result of the evaluation index to obtain a first score corresponding to the evaluation index; setting a first weight for the evaluation index, and multiplying the first score by the first weight to obtain a first result; calculating a capability assessment score of the nursing personnel according to all the first results; dividing a plurality of ability grades based on the ability evaluation score, and determining a to-be-trained person according to the ability grades; determining training content based on the evaluation indexes of the to-be-trained personnel; acquiring a skill brief introduction of a nursing lecturer; matching the training content with the skill brief introduction, and determining a current training lecturer; a training time point is preset, and the current training lecturer trains the to-be-trained person based on the training content. The post competency of nursing personnel is rapidly improved, and the safety of patients is guaranteed.

The invention relates to the technical field of treatment management, in particular to a comprehensive plastic treatment management system which comprises a hyaluronic acid coordinate prediction module, a current hyaluronic acid coordinate detection module, a coordinate parameter calculation module and a recovery time prediction module. And then predicting the prediction time of restoring hyaluronic acid to the prediction coordinate in the hyaluronic acid coordinate prediction module through the deviation value and the recovery speed, along with continuous input of new review coordinates, namely generation of new change values and deviation values, the module can dynamically update the prediction time, and after each review, the recovery speed is calculated again and the deviation value is adjusted again, so that the recovery speed of hyaluronic acid is recovered to the prediction coordinate in the hyaluronic acid coordinate prediction module. Therefore, the prediction time is corrected, the prediction result is closer to the actual recovery process, prospective information is provided for doctors, and the doctors can plan treatment intervention measures in advance.

An artificial intelligence enabled advanced treatment management system (AI-ATMS) is configured to improve inter-actions and outcomes from a multidisciplinary patient care team. The AI-ATMS includes advanced integration with an artificial intelligence system with access to federated databases. The AI-ATMS is configured for the real-time engagement with the patient-treatment team in a manner that provides the patient-treatment team with context-related data elements, while also permitting the patient-treatment team with the ability to train the AI-ATMS during the engagement. The AI-ATMS may be for treating a cancer or other medical condition.

The invention relates to a blood purification system control method and device based on a neural network, and aims to overcome the defects of a traditional fixed treatment mode in processing special cases or coping with emergencies. According to the method, current treatment parameters, such as the blood flow rate, the dialysate flow and the ultrafiltration rate, of a patient detected by a blood purification system are obtained, data analysis is conducted on the parameters through a preset neural network model, control parameters are obtained, and the system is adjusted in real time. Based on the feedback mechanism, the method continuously optimizes the treatment regimen until the parameters of the patient meet the preset conditions. The system can dynamically respond to physical sign changes of the patient, and personalized and intelligent treatment management is achieved.

A method provides a palatal expansion treatment management and visualization system. The method includes receiving data of a craniofacial structure of a patient; identifying one or more parameters corresponding to a palatal expansion treatment plan for the patient; processing the data of the craniofacial structure of the patient and the one or more parameters to generate a visualization of a predicted outcome of the craniofacial structure affected by the palatal expansion treatment plan; and providing, for display in a user interface of a user device, the visualization of the predicted outcome.

According to various embodiments of the present invention, disclosed is a method for providing a user interface-based orthodontic treatment management service. The method may comprise the steps of: obtaining patient registration information; obtaining orthodontic treatment management information of a patient corresponding to the patient registration information; and displaying a treatment schedule of the patient on a calendar included in each of a patient UI and a doctor UI on the basis of the orthodontic treatment management information.

The embodiment of the utility model discloses a diagnosis and treatment management machine. According to one specific embodiment, the diagnosis and treatment management machine comprises a machine body frame, an electronic equipment main body, a display, a controller, a loudspeaker, a blood pressure detector, an infrared camera shooting part, a respiration detection part and a power supply part; the machine body frame is provided with at least two platform components; the peripheral interface area is provided with at least one peripheral interface hole, and the electronic equipment main body and the power supply part are placed in the peripheral interface area; the display is placed in the display placing groove; the infrared camera part is placed above the display; the controller is placed in the controller placing groove; the blood pressure detector and the respiration detection part are respectively placed on the two platform parts; the loudspeaker is placed in the loudspeaker placing groove; and a part replacement placing groove is formed in the part replacement area of the machine frame. According to the embodiment, inspection equipment is integrated, so that the inspection is more systematic, and the base coverage rate is improved.