基于Web平台的帕金森智能辅助诊断系统

Intelligent Assistant Diagnosis System of Parkinson’s Disease Based on Web Platform

本项目旨在提高帕金森病的医疗诊断效率和服务水平、降低误诊漏诊率、减轻医务工作者的工作负担。该项目采用Python的自然语言处理技术、分层的javaWeb设计模块,量表评估算法,设计一款基于Web平台的帕金森病智能辅助诊断系统,采用数据库、电子病历、Java编程、网页编辑技术等技术,构建集帕金森自主评估量表、个人健康档案、案例库、医患对接功能为一体的智能辅助诊断系统。从而达到了提高医疗诊断的效率和服务水平,降低误诊漏诊率的目的。

This project adopts Python natural language processing technology,layered java web design module and scale evaluation algorithm to design an intelligent auxiliary diagnosis system for Parkinson’s disease based on Web platform,and adopts database,electronic medical record,Java programming,web page editing technology and other technologies to build a Parkinson's independent evaluation scale,personal health archives,case library,and doctor-patient docking function Intelligent assistant diagnosis system.So as to improve the efficiency and service level of medical diagnosis and reduce the rate of misdiagnosis and missed diagnosis.