How to develop machine learning models for healthcare

被引：167

作者：

Chen, Po-Hsuan Cameron ^{[1
]}

Liu, Yun ^{[1
]}

Peng, Lily ^{[1
]}

机构：

[1] Google AI Healthcare, Mountain View, CA 94039 USA

来源：

NATURE MATERIALS | 2019年 / 18卷 / 05期

关键词：

SENSITIVITY; PREDICTION;

D O I：

10.1038/s41563-019-0345-0

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

Rapid progress in machine learning is enabling opportunities for improved clinical decision support. Importantly, however, developing, validating and implementing machine learning models for healthcare entail some particular considerations to increase the chances of eventually improving patient care.

引用

页码：410 / 414

页数：5

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