Machine learning-based colorectal cancer prediction using global dietary data

HIGHLIGHTS

• who: Hanif Abdul Rahman from the (UNIVERSITY) have published the article: Machine learning-based colorectal cancer prediction using global dietary data, in the Journal: (JOURNAL)
• what: The authors obtained global dietary-based data from publicly accessible databases and investigate the important dietary factors of predicting CRC labels using exploratory unsupervised and supervised ML-based models. This study identified total fat, mono-unsaturated fats, linoleic acid, cholesterol, omega-6 as moderate to high correlated dietary features to positive colorectal cancer. This study has narrowed down salient features that future researchers could consider in a more holistic . . .
  

   

  

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