首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
MadridSpainEuropeAlgorithmsChron ic DiseaseCyborgsDisease AttributesEmerging TechnologiesHealth and Medic ineMachine LearningRisk and Prevention
NETL
NSTL
