Mining Personal Health Index from Annual Geriatric Medical Examinations

Ling Chen, Xue Li, Sen Wang, Hsiao Yun Hu, Nicole Huang, Quan Z. Sheng, Mohamed Sharaf

研究成果: Conference contribution同行評審

12 引文 斯高帕斯(Scopus)

摘要

People take regular medical examinations mostly not for discovering diseases but for having a peace of mind regarding their health status. Therefore, it is important to give them an overall feedback with respect to all the health indicators that have been ranked against the whole population. In this paper, we propose a framework of mining Personal Health Index (PHI) from a large and comprehensive geriatric medical examination (GME) dataset. We define PHI as an overall score of personal health status based on a complement probability of health risks. The health risks are calculated using the information from the cause of death (COD) dataset that is linked to the GME dataset. Especially, the highest health risk is revealed in the cases of people who had been taking GME for some years and then passed away for medical reasons. The proposed framework consists of methods in data pre-processing, feature extraction and selection, and model selection. The effectiveness of the proposed framework is validated by a set of comprehensive experiments based on the records of 102,258 participants. As the first of this kind, our work provides a baseline for further research.

原文English
主出版物標題Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014
編輯Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
發行者Institute of Electrical and Electronics Engineers Inc.
頁面761-766
頁數6
版本January
ISBN(電子)9781479943029
DOIs
出版狀態Published - 1 1月 2014
事件14th IEEE International Conference on Data Mining, ICDM 2014 - Shenzhen, China
持續時間: 14 12月 201417 12月 2014

出版系列

名字Proceedings - IEEE International Conference on Data Mining, ICDM
號碼January
2015-January
ISSN(列印)1550-4786

Conference

Conference14th IEEE International Conference on Data Mining, ICDM 2014
國家/地區China
城市Shenzhen
期間14/12/1417/12/14

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