Original language | English |
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Article number | e082505 |
Journal | BMJ (Clinical research ed.) |
Volume | 388 |
DOIs | |
Publication status | Published - 24 Mar 2025 |
Probast+ai: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G M Moons*, Johanna A A Damen, Tabea Kaul, Lotty Hooft, Constanza Andaur Navarro, Paula Dhiman, Andrew L Beam, Ben Van Calster, Leo Anthony Celi, Spiros Denaxas, Alastair K Denniston, Marzyeh Ghassemi, Georg Heinze, André Pascal Kengne, Lena Maier-Hein, Xiaoxuan Liu, Patricia Logullo, Melissa D McCradden, Nan Liu, Lauren Oakden-Rayner
*Corresponding author for this work
- Julius Center, dept. Epidemiology & Health Economics
- Cancer
- Julius Center, dept. Epidemiology & Health Economics
- Julius Center, dept. Epidemiology & Health Economics
- Julius Center, dept. Epidemiology & Health Economics
- Julius Center, dept. Data Science & Biostatistics
- Julius Center, dept. Epidemiology & Health Economics
- Circulatory Health
- Julius Center, dept. Data Science & Biostatistics
- Infection & Immunity
Research output: Contribution to journal › Article › Academic › peer-review
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