A review of machine learning in obesity-Reference-Cited by-同舟云学术

A review of machine learning in obesity

Published:2018-02-09 Issue:5 Volume:19 Page:668-685
ISSN:1467-7881
Container-title:Obesity Reviews
language:en
Short-container-title:Obesity Reviews

Author:

DeGregory K. W.¹,Kuiper P.¹,DeSilvio T.²,Pleuss J. D.¹,Miller R.¹,Roginski J. W.¹,Fisher C. B.¹,Harness D.¹,Viswanath S.²,Heymsfield S. B.³,Dungan I.¹,Thomas D. M.¹

Affiliation:

1. Department of Mathematical Sciences; United States Military Academy; West Point NY USA

2. Case Western Reserve University; Cleveland OH USA

3. Pennington Biomedical Research Center; Baton Rouge LA USA

Funder

iCorps@Ohio

National Institutes of Health

DOD/CDMRP PRCRP Career Development Award

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Endocrinology, Diabetes and Metabolism

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/obr.12667/fullpdf

Reference84 articles.

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3. Machine learning techniques for prediction of early childhood obesity;Dugan;Appl Clin Inform,2015

4. Hip and wrist accelerometer algorithms for free-living behavior classification;Ellis;Med Sci Sports Exerc,2016

5. Large-scale automated analysis of news media: a novel computational method for obesity policy research;Hamad;Obesity (Silver Spring),2015

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