A machine learning approach utilizing dna methylation as an accurate classifier of covid-19 disease severity

HIGHLIGHTS

• who: Scott Bowler from the DivisionUniversity of have published the research work: A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity, in the Journal: Scientific Reports Scientific Reports
• what: This approach provides more detailed information compared to the commonly used alternative, the Shapely Additive explanation (SHAP) method, as SHAP values: 1. Taken together, the authors believe the model has been well trained to accurately identify individuals with varying degrees of COVID-19 disease.
• future: Future studies would benefit from subsetting peripheral blood mononuclear cells (PBMCs) to . . .
  

   

  

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