Development and Validation of a Machine Learning Model to Phenotype Surgical Patients at Risk of Developing Postoperative Sepsis

被引：0

作者：

Walters, Emily ^{[1
]}

Hill, Brian ^{[1
]}

Cannesson, Maxime ^{[2
]}

机构：

[1] Univ Calif Los Angeles, Los Angeles, CA USA

[2] Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA 90095 USA

来源：

ANESTHESIA AND ANALGESIA | 2020年 / 130卷

关键词：

D O I：

暂无

中图分类号：

R614 [麻醉学];

学科分类号：

100217 ;

摘要：

引用

页码：959 / 959

页数：1

共 3 条

[1]

Pedregosa F, 2011, J MACH LEARN RES, V12, P2825

[2] Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis [J].

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Mi, Qi ;

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Visweswaran, Shyam ;

Vodovotz, Yoram ;

Weiss, Jeremy C. ;

Yealy, Donald M. ;

Yende, Sachin ;

Angus, Derek C. .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 321 (20) :2003-2017

[3] The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) [J].

Singer, Mervyn ;

Deutschman, Clifford S. ;

Seymour, Christopher Warren ;

Shankar-Hari, Manu ;

Annane, Djillali ;

Bauer, Michael ;

Bellomo, Rinaldo ;

Bernard, Gordon R. ;

Chiche, Jean-Daniel ;

Coopersmith, Craig M. ;

Hotchkiss, Richard S. ;

Levy, Mitchell M. ;

Marshall, John C. ;

Martin, Greg S. ;

Opal, Steven M. ;

Rubenfeld, Gordon D. ;

van der Poll, Tom ;

Vincent, Jean-Louis ;

Angus, Derek C. .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2016, 315 (08) :801-810

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