Machine Learning in Epidemiology and Health Outcomes Research

Machine learning approaches to modeling of epidemiologic data are becoming increasingly more prevalent in the literature. These methods have the potential to improve our understanding of health and opportunities for intervention, far beyond our past capabilities. This article provides a walkthrough...

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Vydané v:	Annual review of public health Ročník 41; s. 21
Hlavní autori:	Wiemken, Timothy L, Kelley, Robert R
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 02.04.2020
Predmet:	Epidemiologic Methods Epidemiologic Research Design Humans Machine Learning Outcome Assessment, Health Care - methods biostatistics deep learning treatment effects walkthrough predictive modeling artificial intelligence
ISSN:	1545-2093, 1545-2093
On-line prístup:	Zistit podrobnosti o prístupe
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