个性化医疗:利用人工智能和定位服务进行症状诊断和医院推荐的综合方法

Seng-Keong Tan, Siew-Chin Chong, Kuok-Kwee Wee, Lee-Ying Chong
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引用次数: 0

摘要

利用数字技术的进步,我们设计了一个基于 Flask 的集成平台,以集中管理个人健康记录并促进做出明智的医疗决策。该平台利用基于随机森林模型的症状检查器和由 OpenAI API 驱动的聊天机器人进行初步疾病诊断,并集成了谷歌地图 API,可根据用户位置推荐附近的医院。此外,该系统还包含一个全面的用户档案,其中包括一般信息、病史和过敏史。该系统还包括提醒服药的功能。这种技术与医疗保健的创新结合,促进了以用户为中心的个人健康管理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Healthcare: A Comprehensive Approach for Symptom Diagnosis and Hospital Recommendations Using AI and Location Services
Utilizing digital advancements, an integrated Flask-based platform has been engineered to centralize personal health records and facilitate informed healthcare decisions. The platform utilizes a Random Forest model-based symptom checker and an OpenAI API-powered chatbot for preliminary disease diagnosis and integrates Google Maps API to recommend proximal hospitals based on user location. Additionally, it contains a comprehensive user profile encompassing general information, medical history, and allergies. The system includes a medicine reminder feature for medication adherence. This innovative amalgamation of technology and healthcare fosters a user-centric approach to personal health management.
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