5 results about "Self-management" patented technology

The present invention, on the basis of a digital tombstone provided in a cemetery, provides information and content of the deceased through display, input, power source, detection and communication functions and enables visitor recognition, audio and video output, energy self-sustained operation and remote management. In addition, artificial intelligence is used to automatically generate and supplement family trees, genealogies and photo / video-based family relationship data, and memory-associated spaces and an avatar reflecting family characteristics are provided in a metaverse space so that a digital family legacy is continuously managed. Furthermore, emotion inputs and interactions are analyzed using an ethical judgement model so as to refine and block risky expressions, and a safe and reliable digital posthumous digital persona curation service can be provided.

This invention discloses an intelligent system for the integrated management of coronary heart disease and oral health, belonging to the interdisciplinary fields of digital healthcare and chronic disease management. The key technical points are: the system includes modules for objective data collection, data quality control and cleaning, dynamic linkage analysis, plan generation, multi-terminal intervention guidance, and multi-dimensional effect evaluation. By integrating smart hardware, AI cameras, and medical scales, it jointly extracts the pathological, oral frailty, and psychosocial objective characteristics of coronary heart disease patients; constructs a multi-dimensional coupled correlation model to dynamically predict the association risk between acute cardiovascular events and local oral infections; and achieves closed-loop intervention through real-time guidance and multi-terminal collaborative mechanisms. This solves the problem of separate management of coronary heart disease and oral health in existing health management systems, realizing cross-system collaborative management, and achieving a leap from subjective education to objective digital therapy. It significantly improves the quality of self-management for elderly coronary heart disease patients in a home environment and effectively reduces the risk of adverse health outcomes.

Systems, devices, and methods are provided for processing data events in a datalake environment using data contracts. Techniques described herein may be utilized to decouple data acquisition from data ingestion to reduce dependencies within a data lake environment, reduce or need for coordination by data producers with downstream data consumers, and allow for self-manage their schemas through versioning.

A stroke recurrence risk assessment and personalized management method and system, the system comprises an application server, the application server comprises a database module, a recurrence risk dynamic prediction model module and a personalized management strategy generation module. The recurrence risk dynamic prediction model module is used to determine a long-term static risk index reflecting the inherent risk of the patient based on the clinical data stored in the database module, determine a short-term dynamic risk adjustment index reflecting the instantaneous risk contribution based on the dynamic feature sequence in the self-management data; by executing a risk coupling algorithm, the long-term static risk index and the short-term dynamic risk adjustment index are fused and calculated by using a weight coefficient to obtain a total risk index; the personalized management strategy generation module is used to convert the total risk index into a query vector, retrieve a matched guideline segment in a stroke management knowledge base; input the guideline segment as a constraint condition into a large language reasoning model to generate a personalized intervention scheme.

The embodiment of the present disclosure provides a kind of machine learning-based heart failure patient remote volume management method and system, comprising: collecting multi-source data, accurately identifying and nutrition analysis to diet image by deep learning model, combine the time trend analysis of physiological monitoring data and the professional evaluation of clinical test data, construct multilevel prediction model, realize the accurate prediction of volume overload risk;Automatic generation of graded warning information according to risk level, and matching individualized intervention scheme is pushed to mobile application terminal.The embodiment of the present disclosure can effectively improve the self-management ability of heart failure patients, realize early intervention of volume problem.