Deep Diabetologist:Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks

摘要：

　　In healthcare,applying deep learning models to electronic health records(EHRs)has drawn considerable attention.This sequential nature of EHR data make them wellmatched for the power of Recurrent Neural Network(RNN).In this poster,we propose Deep Diabetologist - using RNNs for EHR sequential data modeling to provide personalized hypoglycemic medication prediction for diabetic patients.Our results demonstrate improved performance compared with a baseline classifier using logistic regression.

关键词： Decision Support Systems,Clinical Neural Networks (Computer) Electronic Health Records

作者: Jing Mei Shiwan Zhao Feng Jin Lingxiao Zhang Haifeng Liu Xiang Li Guotong Xie Xuejun Li Meilin Xu

作者单位: IBM Research China,Beijing,China Department of Computer Science,Peking University,Beijing,China Department of Endocrinology and Diabetes,the First Affiliated Hospital,Xiamen University,Xiamen,Chin Pfizer Investment Co.Ltd.,Beijing,China

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1277-1277

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）