首页|University of Surrey Reports Findings in Artificial Intelligence (Artificial int elligence driven definition of food preference endotypes in UK Biobank volunteer s is associated with distinctive health outcomes and blood based metabolomic and ...)
University of Surrey Reports Findings in Artificial Intelligence (Artificial int elligence driven definition of food preference endotypes in UK Biobank volunteer s is associated with distinctive health outcomes and blood based metabolomic and ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Guildford, Unit ed Kingdom, by NewsRx editors, research stated, “Specific food preferences can d etermine an individual’s dietary patterns and therefore, may be associated with certain health risks and benefits. Using food preference questionnaire (FPQ) dat a from a subset comprising over 180,000 UK Biobank participants, we employed Lat ent Profile Analysis (LPA) approach to identify the main patterns or profiles am ong participants. blood biochemistry across groups/profiles was compared using t he non-parametric Kruskal-Wallis test.” Financial supporters for this research include University of Surrey, Lembaga Pen gelola Dana Pendidikan.
GuildfordUnited KingdomEuropeArtif icial IntelligenceCardiologyCardiovascular Diseases and ConditionsEmerging TechnologiesFood PreferenceHealth and MedicineHeart DiseaseHeart Disord ers and DiseasesHeart FailureMachine LearningProteomicsRisk and Preventi on
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