Guidelines for reinforcement learning in healthcare

被引：208

作者：

Gottesman, Omer ^{[1
]}

Johansson, Fredrik ^{[2
]}

Komorowski, Matthieu ^{[3
,4
]}

Faisal, Aldo ^{[5
,6
,7
,8
]}

Sontag, David ^{[2
]}

Doshi-Velez, Finale ^{[1
]}

Celi, Leo Anthony ^{[3
,9
,10
]}

机构：

[1] Harvard Univ, Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA

[2] MIT, Inst Med Engn & Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[3] MIT, Harvard MIT Hlth Sci & Technol, Lab Computat Physiol, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[4] Imperial Coll London, Fac Med, Dept Surg & Canc, London, England

[5] Imperial Coll London, Dept Bioengn, London, England

[6] Imperial Coll London, Dept Comp, London, England

[7] Data Sci Inst, London, England

[8] MRC London Inst Clin Sci, London, England

[9] Beth Israel Deaconess Med Ctr, Div Pulm Crit Care & Sleep Med, Boston, MA 02215 USA

[10] MIT Crit Data, Cambridge, MA 02139 USA

来源：

NATURE MEDICINE | 2019年 / 25卷 / 01期

关键词：

D O I：

10.1038/s41591-018-0310-5

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

In this Comment, we provide guidelines for reinforcement learning for decisions about patient treatment that we hope will accelerate the rate at which observational cohorts can inform healthcare practice in a safe, risk-conscious manner.

引用

页码：16 / 18

页数：3

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