“医路同行”智能医疗服务平台设计与实现

Design and Implementation of “Medical Road Peer” Intelligent Medical Service Platform

医疗信息的缺失导致医疗差错频发[1],移动医疗[2]的出现改善了这一现象。本项目通过与专业医生合作,运用机器视觉、自然语言处理等人工智能技术,自动采集患者的健康信息,通过搭建医学知识图谱,实现医疗健康智能问答。另外,使用基于用户兴趣的推荐算法,对患者进行个性化健康资讯推荐。使用血糖仪、血压计等设备对患者进行生命体征监测,然后结合专业随访量表对患者健康进行评估。在项目中,采用AHP层次分析法、KNN等算法,实现对糖尿病等慢性疾病的自动预测,从而搭建起一套促进患者健康的智能医疗服务平台。

The lack of medical information has led to frequent medical errors, and the emergence of mobile medical care has improved this phenomenon. Through cooperation with professional doctors, this project uses artificial intelligence technology such as machine vision and natural language processing to automatically collect patient’s health information, and build medical knowledge map to realize medical health intelligence question and answer. In addition, personalized health information recommendations are made to patients using a recommendation algorithm based on user interest. The patient is monitored for vital signs using equipment such as blood glucose meters and sphygmomanometers, and then the patient’s health is assessed in conjunction with a professional follow-up scale. In the project, AHP analytic hierarchy process, KNN and other algorithms are used to realize automatic prediction of chronic diseases such as diabetes, so as to build a set of intelligent medical service platform to promote patient health.