| Original language | English |
|---|---|
| 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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