A machine learning-based mortality prediction model for patients with chronic hepatitis c infection: an exploratory study

HIGHLIGHTS

  • What: The aim of this study is to use different ML techniques, along with traditional logistic regression, to create and validate models for mortality prediction among chronic HCV-infected patients. Although the models showed good discrimination and predictive abilities, they are not without limitations. Despite these limitations, the findings of this study provide valuable insights into the prediction of mortality outcomes in patients with chronic HCV infections.
  • Who: Abdullah M. Al Alawi and colleagues from the Department of Medicine, Sultan Qaboos University Hospital, have published the research work: A Machine Learning-Based Mortality Prediction Model . . .

     

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