https://scholars.lib.ntu.edu.tw/handle/123456789/456560
標題: | Mining disease transmission networks from health insurance claims | 作者: | Lu H.-M. Chang Y.-C. HSIN-MIN LU |
關鍵字: | Disease transmission network; Health insurance claims; Health status time series | 公開日期: | 2017 | 出版社: | Springer Verlag | 卷: | 10347 LNCS | 起(迄)頁: | 268-273 | 來源出版物: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 摘要: | Disease transmission network can provide important information for individuals to protect themselves and to support governments to prevent and control infectious diseases. Current studies on disease transmission network mostly focus on scenarios in small, confined areas. We propose to construct disease transmission network using health status time series computed based on health insurance claims. We adopted Granger causality tests to identify potential links from the health status time series from all pairs of individuals. We evaluated our approach by predicting future health care seeking activates for similar diseases based on past health care seeking activates of neighbors in the disease network. The results suggest that the transmission network is able to improve prediction performance in a small random sample of 500 individuals. ? 2017, Springer International Publishing AG. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033468621&doi=10.1007%2f978-3-319-67964-8_26&partnerID=40&md5=1c9a23055fc7c6ce5c75066bc3f2146f https://scholars.lib.ntu.edu.tw/handle/123456789/456560 |
DOI: | 10.1007/978-3-319-67964-8_26 | SDG/關鍵字: | Disease control; Health care; Insurance; Time series; Confined areas; Disease transmission; Future health cares; Granger causality test; Health status; Infectious disease; Prediction performance; Random sample; Health insurance |
顯示於: | 資訊管理學系 |
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