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4 results about "Group treatment" patented technology

Intervention task planning system, device and method

The invention provides an intervention task planning system, device and method, and belongs to the technical field of digital therapy, and the method comprises the steps: enabling the system to carry out the matching of patient index data with a plurality of pre-configured group treatment templates containing intervention metadata, and enabling the matched group treatment templates to serve as first planning data; according to the patient index data and the intervention metadata, generating second planning data based on AIGC; obtaining evaluation results of the first planning data and the second planning data to determine intervention planning data; determining an intervention task based on intervention metadata in the intervention planning data; the device comprises a first planning data acquisition module, a second planning data acquisition module and an intervention task determination module. By evaluating the first planning data generated by simulating the left brain and the second planning data generated by simulating the right brain, the intervention planning data more suitable for the illness state of the patient is determined to plan the final intervention task, and the treatment effect of the patient is guaranteed.
Owner:ZHONGDIAN YAOMING DATA TECH (CHENGDU) CO LTD

Method and system for determining disease intervention scheme based on group treatment template

The invention provides a method and system for determining a disease intervention scheme based on group treatment templates, and belongs to the technical field of digital therapies, the method comprises the following steps: obtaining a plurality of group treatment templates; based on the plurality of group treatment templates, matching a proper group treatment template as a disease intervention scheme of the patient according to indexes of the patient, the plurality of acquired group treatment templates comprising basic information of the group treatment templates and recommended matching condition setting, wherein the recommended matching condition is used for matching with an index of the patient, and when the index of the patient accords with the recommended matching condition of a current group treatment template, the current group treatment template is used as a disease intervention scheme of the patient; the system comprises a group treatment template generation subsystem and a disease intervention scheme matching subsystem. According to the method, a more targeted disease intervention scheme can be determined according to the indexes of the patient, the treatment effect can be effectively improved, and the treatment quality is ensured.
Owner:ZHONGDIAN YAOMING DATA TECH (CHENGDU) CO LTD

A method for end group treatment of fluoropolymers

PendingCN122356354APolymer sciencePtru catalyst
This application provides a method for end-group treatment of fluoropolymers. The method includes the following steps: (1) mixing the fluoropolymer with a solvent and a catalyst to obtain a fluoropolymer solution; (2) subjecting the fluoropolymer solution to heat treatment; the heat treatment temperature is above 110°C. This method is safe, simple, easy to operate, and has low processing costs, making it suitable for continuous industrial production.
Owner:ZHONGHAO CHENGUANG RES INST OF CHEMICALINDUSTRY CO LTD

Individualized ovulation promoting scheme intelligent decision support system oriented to assisted reproduction

The invention relates to the technical field of artificial intelligence assisted medical treatment, and particularly discloses an assisted reproduction-oriented individualized ovulation promoting scheme intelligent decision support system, which comprises a patient multi-dimensional data integration module, an ovary-intima dual-system dynamic model, an individualized scheme optimization engine and a clinical interaction and execution feedback module. According to the method, ovarian response and intimal receptivity are predicted in a coupling mode, a Pareto optimal scheme set giving consideration to ovum obtaining targets and intimal synchronism is generated through a double-target optimization algorithm, quantitative decision support is provided for clinicians, and model self-adaptive updating is achieved by executing feedback. Model prediction and optimization suggestions are continuously close to the real reaction law of individual patients and evolution of group treatment outcome along with data accumulation, and a virtuous circle which is more intelligent is formed, so that the efficiency of an ovulation promoting cycle and the success rate of pregnancy are improved.
Owner:THE FIRST AFFILIATED HOSPITAL OF FUJIAN MEDICAL UNIV