Machine Learning Methods to Address Confounding in Sepsis Mortality Rate

被引：0

作者：

Basu, T. ^{[1
]}

Teng, D. ^{[1
]}

Bhomia, N. ^{[1
]}

O'Malley, M. ^{[1
]}

McLaughlin, E. ^{[1
]}

Munroe, E. ^{[1
]}

Bozyk, P. D. ^{[2
]}

Blamoun, J. ^{[3
]}

Kocher, K. ^{[4
]}

Horowitz, J. ^{[1
]}

Posa, P. ^{[1
]}

Flanders, S. ^{[1
]}

Prescott, H. C. ^{[5
]}

机构：

[1] Univ Michigan, Dept Med, Ann Arbor, MI USA

[2] William Beaumont Hosp, Pulm & Crit Care Med, Royal Oak, MI USA

[3] MyMichigan Hlth, Pulmonol & Crit Care Med, Midland, MI USA

[4] Univ Michigan, Dept Emergency Med, Ann Arbor, MI USA

[5] Univ Michigan, Div Pulm & Crit Care Med, Ann Arbor, MI USA

来源：

AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE | 2023年 / 207卷

关键词：

D O I：

暂无

中图分类号：

R4 [临床医学];

学科分类号：

1002 ; 100602 ;

摘要：

A5934

引用

页数：2

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