Prediction and factor extraction of drug function by analyzing medical records in developing countries

Min Hu, Yasunobu Nohara, Masafumi Nakamura, Naoki Nakashima

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligence in healthcare has been shown to be successful for diagnostics. Using machine learning to predict pharmaceutical prescriptions may solve HRH crises. In this study, we investigate a predictive model by analyzing prescription data of 4,543 subjects in Bangladesh. We predict the function of prescribed drugs, comparing three machine-learning approaches. The approaches compare whether a subject shall be prescribed medicine from the 21 most frequently prescribed drug functions. Receiver Operating Characteristics (ROC) were selected as a way to evaluate and assess prediction models. The results show the drug function with the best prediction performance was oral hypoglycemic drugs, which has an average AUC of 0.962. To understand how the variables affect prediction, we conducted factor analysis based on tree-based algorithms and natural language processing techniques.

本文言語英語
ホスト出版物のタイトルMEDINFO 2017
ホスト出版物のサブタイトルPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
編集者Zhao Dongsheng, Adi V. Gundlapalli, Jaulent Marie-Christine
出版社IOS Press
ページ403-407
ページ数5
ISBN(電子版)9781614998297
DOI
出版ステータス出版済み - 2017
イベント16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, 中国
継続期間: 8 21 20178 25 2017

出版物シリーズ

名前Studies in Health Technology and Informatics
245
ISSN(印刷版)0926-9630
ISSN(電子版)1879-8365

その他

その他16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country中国
CityHangzhou
Period8/21/178/25/17

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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