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Computational algorithm based on health and lifestyle traits to categorize lifemetabotypes in the NUTRiMDEA cohort.

Scientific reports - 22 Oct 2024

Higuera-Gómez Andrea, de la O Víctor, San-Cristobal Rodrigo, Ribot-Rodríguez Rosa, Espinosa-Salinas Isabel, Dávalos Alberto, Portillo María P, Martínez J Alfredo

Abstract excerpt

Classifying individuals based on metabotypes and lifestyle phenotypes using exploratory factor analyses, cluster definition, and machine-learning algorithms is promising for precision chronic disease prevention and management. This study analyzed data from the NUTRiMDEA online cohort (baseline: n = 17332 and 62 questions) to develop a clustering tool based on 32 accessible questions using machine-learning...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39438551
DOI: 10.1038/s41598-024-75110-z
PMCID: PMC11496800

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