A machine learning-based framework to identify type 2 diabetes through electronic health records

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• 作者：Tao Zheng^a ; ^b ; Wei Xie^c ; Liling Xu^b ; Xiaoying He^d ; Ya Zhang^a ; Mingrong You^e ; Gong Yang^e ; You Chen ; Ph.D^f ; ^{you.chen@vanderbilt.edu}
• 关键词：Electronic health records ; Type 2 diabetes ; Data mining ; Feature engineering ; Machine learning
• 刊名：International Journal of Medical Informatics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：97
• 期：Complete
• 页码：120-127
• 全文大小：1271 K
• 卷排序：97

文摘

A machine learning-based framework to identify type 2 diabetes subjects. The framework achieved high identification performances (∼0.98 in average AUC). The framework focused on reducing missing rate to identify more type 2 diabetes subjects.