Real-time imputation of missing predictor values in clinical practice

por Nijman, Steven W J, Hoogland, Jeroen, Groenhof, T Katrien J, Brandjes, Menno, Jacobs, John J L, Bots, Michiel L, Asselbergs, Folkert W, Moons, Karel G M, Debray, Thomas P A
Publicado 2020

Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques

por Andaur Navarro, Constanza L, Damen, Johanna A A G, Takada, Toshihiko, Nijman, Steven W J, Dhiman, Paula, Ma, Jie, Collins, Gary S, Bajpai, Ram, Riley, Richard D, Moons, Karel GM, Hooft, Lotty
Publicado 2020

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

por Andaur Navarro, Constanza L, Damen, Johanna A A, Takada, Toshihiko, Nijman, Steven W J, Dhiman, Paula, Ma, Jie, Collins, Gary S, Bajpai, Ram, Riley, Richard D, Moons, Karel G M, Hooft, Lotty
Publicado 2021

Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review

por Andaur Navarro, Constanza L., Damen, Johanna A. A., Takada, Toshihiko, Nijman, Steven W. J., Dhiman, Paula, Ma, Jie, Collins, Gary S., Bajpai, Ram, Riley, Richard D., Moons, Karel G. M., Hooft, Lotty
Publicado 2022

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

por de Hond, Anne A. H., Leeuwenberg, Artuur M., Hooft, Lotty, Kant, Ilse M. J., Nijman, Steven W. J., van Os, Hendrikus J. A., Aardoom, Jiska J., Debray, Thomas P. A., Schuit, Ewoud, van Smeden, Maarten, Reitsma, Johannes B., Steyerberg, Ewout W., Chavannes, Niels H., Moons, Karel G. M.
Publicado 2022