Published on in Vol 11, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30956, first published .
Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Journals

  1. Gajra A, Jeune-Smith Y, Balanean A, Miller K, Bergman D, Showalter J, Page R. Reducing Avoidable Emergency Visits and Hospitalizations With Patient Risk-Based Prescriptive Analytics: A Quality Improvement Project at an Oncology Care Model Practice. JCO Oncology Practice 2023;19(5):e725 View
  2. Klement W, El Emam K. Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation. Journal of Medical Internet Research 2023;25:e48763 View
  3. Khalid S, Massaad E, Roy J, Thomson K, Mirpuri P, Kiapour A, Shin J. An Appraisal of the Quality of Development and Reporting of Predictive Models in Neurosurgery: A Systematic Review. Neurosurgery 2024 View