A Personalized Adviser-Interpreter System for Monitoring Diabetic Patients Weight Loss

摘要：

　　Diabetes and obesity are chronic diseases that need continuous follow-up. Analysis of the large volumes of patient data collected over time is time consuming and effortful for the physician. Automatic data abstraction and providing a summary of important events in the patients follow-up history saves the physicians time and helps in making more informed decisions. The purpose of this study was to design an interpreter system that generates a tailored textual report about patients adherence to a therapeutic regimen. The system has been designed in three phases: determining report structure, interpreting data, and generating textual-graphical reports for the patient and physician. The output report was evaluated by 12 diabetes nutrition specialists and eight diabetic patients. We used a questionnaire and a semistructured interview approach to assess the quality of the report in terms of content validity, understandability, and practicality.

关键词： Monitoring Tailoring Diabetes Weight Loss

作者: Azadeh Kamel Ghalibaf Seyed Mahmood Tara

作者单位: Student Research Committee,Faculty of medicine,Mashhad University of Medical Sciences,Mashhad,Iran Department of Medical Informatics,Faculty of Medicine,Mashhad University of Medical Sciences,Mashhad

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 379-383

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）