Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years

BioMed Research International
Dominique J MonlezunOn Behalf Of The Chop Co-Investigators

Abstract

Cardiovascular disease (CVD) annually claims more lives and costs more dollars than any other disease globally amid widening health disparities, despite the known significant reductions in this burden by low cost dietary changes. The world's first medical school-based teaching kitchen therefore launched CHOP-Medical Students as the largest known multisite cohort study of hands-on cooking and nutrition education versus traditional curriculum for medical students. This analysis provides a novel integration of artificial intelligence-based machine learning (ML) with causal inference statistics. 43 ML automated algorithms were tested, with the top performer compared to triply robust propensity score-adjusted multilevel mixed effects regression panel analysis of longitudinal data. Inverse-variance weighted fixed effects meta-analysis pooled the individual estimates for competencies. 3,248 unique medical trainees met study criteria from 20 medical schools nationally from August 1, 2012, to June 26, 2017, generating 4,026 completed validated surveys. ML analysis produced similar results to the causal inference statistics based on root mean squared error and accuracy. Hands-on cooking and nutrition education compared to traditional med...Continue Reading

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Citations

Jun 17, 2020·The Journal of Alternative and Complementary Medicine : Research on Paradigm, Practice, and Policy·Joshua M RothmanHorace M DeLisser
Aug 28, 2019·NPJ Digital Medicine·Eli M CahanDaniel L Rubin
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Nov 30, 2021·Journal of Human Nutrition and Dietetics : the Official Journal of the British Dietetic Association·Priya Patel, Shireen Kassam

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Software Mentioned

GCCM
FE
Diabetes
MedDiet
STATA
CHOP
R
IVWFE
Family

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