Robotics & Machine Learning Daily News2024,Issue(Nov.6) :154-154.

Data on Chronic Disease Reported by Andrea Higuera-Gomez and Colleagues (Computa tional algorithm based on health and lifestyle traits to categorize lifemetaboty pes in the NUTRiMDEA cohort)

Robotics & Machine Learning Daily News2024,Issue(Nov.6) :154-154.

Data on Chronic Disease Reported by Andrea Higuera-Gomez and Colleagues (Computa tional algorithm based on health and lifestyle traits to categorize lifemetaboty pes in the NUTRiMDEA cohort)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Disease Attributes - Chronic Dise ase is the subject of a report.According to news reporting out of Madrid, Spain , by NewsRx editors, research stated, “Classifying individuals based on metaboty pes and lifestyle phenotypes using exploratory factor analyses, cluster definiti on, and machinelearning algorithms is promising for precision chronic disease p revention and management.This study analyzed data from the NUTRiMDEA online coh ort (baseline: n = 17332 and 62 questions) to develop a clustering tool based on 32 accessible questions using machine-learning strategies.”

Key words

Madrid/Spain/Europe/Algorithms/Chron ic Disease/Cyborgs/Disease Attributes/Emerging Technologies/Health and Medic ine/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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