Personal health indexing based on medical examinations: A data mining approach

Ling Chen*, Xue Li, Yi Yang, Hanna Kurniawati, Quan Z. Sheng, Hsiao Yun Hu, Nicole Huang

*此作品的通信作者

研究成果: Article同行評審

32 引文 斯高帕斯(Scopus)

摘要

We design a method called MyPHI that predicts personal health index (PHI), a new evidence-based health indicator to explore the underlying patterns of a large collection of geriatric medical examination (GME) records using data mining techniques. We define PHI as a vector of scores, each reflecting the health risk in a particular disease category. The PHI prediction is formulated as an optimization problem that finds the optimal soft labels as health scores based on medical records that are infrequent, incomplete, and sparse. Our method is compared with classification models commonly used in medical applications. The experimental evaluation has demonstrated the effectiveness of our method based on a real-world GME data set collected from 102,258 participants.

原文English
頁(從 - 到)54-65
頁數12
期刊Decision Support Systems
81
DOIs
出版狀態Published - 1月 2016

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