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Performance assessment of different machine learning approaches in predicting diabetic ketoacidosis in adults with type 1 diabetes using electronic health records data

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第一作者： Lin Li

作者： Lin Li ^[1] ; Chuang-Chung Lee ; Fang Liz Zhou ; Cliona Molony ; Zoran Doder ; Evgeny Zalmover ; Kristen Sharma ; Juhaeri Juhaeri ; Chuntao Wu

作者单位： Sanofi U.S. LLC, Bridgewater, New Jersey ^[1]

关键词 AUC diabetic ketoacidosis least absolute shrinkage and selection operator logistic regression machine learning prediction model

发布时间 2021-07-24

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Pharmacoepidemiology and drug safety

2021年30卷5期

610-618页

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Pharmacoepidemiology and drug safety

2021年30卷5期

610-618页

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Performance assessment of different machine learning approaches in predicting diabetic ketoacidosis in adults with type 1 diabetes using electronic health records data

Pharmacoepidemiology and drug safety

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Pharmacoepidemiology and drug safety

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Performance assessment of different machine learning approaches in predicting diabetic ketoacidosis in adults with type 1 diabetes using electronic health records data

Pharmacoepidemiology and drug safety

相似文献

同项目论文

Pharmacoepidemiology and drug safety

相关期刊

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