Application of Regional Health Portrait and Health Assessment
Objective The aim is to establish a comprehensive health profiling and health assessment system,so as to improve health services and management level.Methods The study employs big data mining techniques to uncover the value within health data,integrates machine learning algorithms,and applies clustering analysis and trend regression prediction models to anticipate health risks.Based on these methodologies,a health profiling system and a health management behavior model are constructed.Results Significant achievements were observed in the application of the health profiling and assessment system across disease prediction and prevention,diagnosis and treatment,as well as health monitoring and management.Furthermore,the system played a crucial role in chronic disease screening and monitoring,health profiling integration for the bi-directional referral and examination platform,and personalized interventions for contracted residents.Conclusion The health profiling and assessment system,rooted in big data and artificial intelligence technologies,provides a solid technological foundation and data support for the construction of a closer medical care consortium.This system not only effectively promotes the integration and collaboration of medical services but also enhances the health standards and quality of life of residents.
health profilinghealth assessmentcloser medical care consortium
NETL
NSTL
万方数据
