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
收藏
页码：1406 / 1408
页数：2
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