Machine learning can improve the development of evidence-based dietary guidelines

被引：2

作者：

Bodnar, Lisa M. ^{[1
,2
]}

Kirkpatrick, Sharon, I ^{[3
]}

Naimi, Ashley, I ^{[4
]}

机构：

[1] Univ Pittsburgh, Sch Publ Hlth, Dept Epidemiol, 5128 Publ Hlth,130 DeSoto St, Pittsburgh, PA 15261 USA

[2] Univ Pittsburgh, Sch Med, Dept Obstet Gynecol & Reprod Sci, Pittsburgh, PA 15260 USA

[3] Univ Waterloo, Sch Publ Hlth & Hlth Syst, Waterloo, ON, Canada

[4] Emory Univ, Rollins Sch Publ Hlth, Dept Epidemiol, Atlanta, GA 30322 USA

来源：

PUBLIC HEALTH NUTRITION | 2022年 / 25卷 / 09期

关键词：

DISEASE; ADHERENCE; REGRESSION; RISK;

D O I：

10.1017/S1368980022001392

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

引用

页码：2566 / 2569

页数：4

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