Research Article
Mining Personal Health Satisfaction and Disease Index from Medical Examinations
@INPROCEEDINGS{10.1007/978-3-030-89814-4_46, author={Chunshan Li and Xiao Guo and Dianhui Chu and Chongyun Xu and Zhiying Tu}, title={Mining Personal Health Satisfaction and Disease Index from Medical Examinations}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Personal health satisfaction Personal disease index Health analysis}, doi={10.1007/978-3-030-89814-4_46} }- Chunshan Li
Xiao Guo
Dianhui Chu
Chongyun Xu
Zhiying Tu
Year: 2021
Mining Personal Health Satisfaction and Disease Index from Medical Examinations
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_46
Abstract
People have regular medical examinations every year, the primary purpose of these is not only to discover a specific disease but to have a clear overview of their current health. Therefore, it is essential to be able to scientifically analyze and evaluate the results of medical examinations, and provide people with comprehensive feedback on physical health satisfaction (PHS) or a specific disease index (DI) feedback. PHS can reflect the current state of a person’s body directly. In this paper, we propose a framework for calculating personal PHS and DI, by which the process of assessing people’s health is indicated. We use the public dataset of the National Center for Health and Nutrition to conduct a scientific analysis of the population medical examinations data. Finally, based on a comprehensive experiment of 6166 participants’ medical examinations data and some experiments with data from participants with heart disease, we verified the effectiveness of the proposed framework.
