This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (954) Research Instruments, Questionnaires, and Tools (433) Theoretical Frameworks and Concepts (182)

Published on in Vol 22 , No 7 (2020) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15770, first published .
Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial

Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial

Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial

Authors of this article:

Mohamed Khalifa 1 Author Orcid Image ;   Farah Magrabi 1 Author Orcid Image ;   Blanca Gallego Luxan 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Rodriguez P, Veenstra D, Heagerty P, Goss C, Ramos K, Bansal A. A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models. Value in Health 2022;25(3):350 View