Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: The reporting of machine learning (ML) prognostic and diagnostic modeling studies is often inadequate, making it difficult to understand and replicate such studies. To address this issue, multiple consensus and expert reporting guidelines for ML studies have been published. However, these guidelines cover different parts of the analytics lifecycle, and individually, none of them provide a complete set of reporting requirements.

Authors

  • William Klement
    University of Ottawa, Ottawa, ON, Canada.
  • Khaled El Emam
    University of Ottawa, Ottawa, ON, Canada.