Characterizing Subgroups of High-Need, High-Cost Patients Based on Their Clinical Conditions: a Machine Learning-Based Analysis of Medicaid Claims Data

被引：0

作者：

Sudhakar V. Nuti

Patrick Doupe

Blanca Villanueva

Joseph Scarpa

Emilie Bruzelius

Aaron Baum

机构：

[1] Yale School of Medicine,Department of Health System Design and Global Health, and the Arnhold Institute for Global Health

[2] Icahn School of Medicine at Mount Sinai,Department of Epidemiology, Joseph L Mailman School of Public Health

[3] Zalando,undefined

[4] Inc.,undefined

[5] CYNGN,undefined

[6] Inc.,undefined

[7] Columbia University,undefined

来源：

Journal of General Internal Medicine | 2019年 / 34卷

关键词：

Medicaid; high-cost patients; high-need patients; machine learning; patient segmentation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：1406 / 1408

页数：2

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