The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols

Publication date

2023-08

Authors

Dhiman, Paula
Whittle, Rebecca
Van Calster, Ben
Ghassemi, Marzyeh
Liu, Xiaoxuan
McCradden, Melissa D.
Moons, Karel G MISNI 0000000390720943
Riley, Richard D.
Collins, Gary S.

Editors

Advisors

Supervisors

Document Type

Letter

Collections

Open Access logo

License

taverne

Abstract

Keywords

Taverne, Software, Human-Computer Interaction, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence

Citation

Dhiman, P, Whittle, R, Van Calster, B, Ghassemi, M, Liu, X, McCradden, M D, Moons, K G M, Riley, R D & Collins, G S 2023, 'The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols', Nature Machine Intelligence, vol. 5, no. 8, pp. 816-817. https://doi.org/10.1038/s42256-023-00705-6