Machine learning prediction of susceptibility to visceral fat associated diseases

HIGHLIGHTS

• who: M. Aldraimli from the School of Computer Science and Engineering, University of Westminster, London W W UW, UK have published the research work: Machine learning prediction of susceptibility to visceral fat associated diseases, in the Journal: (JOURNAL)
• what: The aim of such algorithms is to use several features to predict dichotomous responses (e_g healthy/at risk). The authors built and evaluated thirty-six ML models to classify approximately 4300 female and 4100 male participants from the UK Biobank into three categorical risk statuses based on discretised visceral adipose tissue (VAT) measurements from magnetic resonance . . .
  

   

  

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