| Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review AAH de Hond, AM Leeuwenberg, L Hooft, IMJ Kant, SWJ Nijman, ... NPJ digital medicine 5 (1), 2, 2022 | 277 | 2022 |
| Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review CLA Navarro, JAA Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... bmj 375, 2021 | 236 | 2021 |
| Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review SWJ Nijman, AM Leeuwenberg, I Beekers, I Verkouter, JJL Jacobs, ... Journal of clinical epidemiology 142, 218-229, 2022 | 137 | 2022 |
| Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review CL Andaur Navarro, JAA Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... BMC medical research methodology 22, 1-13, 2022 | 86 | 2022 |
| Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models CLA Navarro, JAA Damen, M van Smeden, T Takada, SWJ Nijman, ... Journal of Clinical Epidemiology 154, 8-22, 2023 | 51 | 2023 |
| Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets T Takada, S Nijman, S Denaxas, KIE Snell, A Uijl, TL Nguyen, ... Journal of Clinical Epidemiology 137, 83-91, 2021 | 39 | 2021 |
| Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models CLA Navarro, JAA Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... Journal of clinical epidemiology 158, 99-110, 2023 | 35 | 2023 |
| Real-time imputation of missing predictor values improved the application of prediction models in daily practice SWJ Nijman, TKJ Groenhof, J Hoogland, ML Bots, M Brandjes, ... Journal of clinical epidemiology 134, 22-34, 2021 | 35 | 2021 |
| Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques CLA Navarro, JAAG Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... BMJ open 10 (11), e038832, 2020 | 31 | 2020 |
| Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ Digit Med [Internet]. 2022; 5 (1): 2 AAH De Hond, AM Leeuwenberg, L Hooft, IMJ Kant, SWJ Nijman, ... This work identifies actionable guidelines for the development, evaluation …, 0 | 21 | |
| Real-time imputation of missing predictor values in clinical practice SWJ Nijman, J Hoogland, TKJ Groenhof, M Brandjes, JJL Jacobs, ... European Heart Journal-Digital Health 2 (1), 154-164, 2021 | 14 | 2021 |
| The use of imputation in clinical decision support systems: a cardiovascular risk management pilot vignette study among clinicians S Haitjema, SWJ Nijman, I Verkouter, JJL Jacobs, FW Asselbergs, ... European Heart Journal-Digital Health 5 (5), 572-581, 2024 | | 2024 |
| Prediction models, machine learning and missing data SWJ Nijman Utrecht University, 2022 | | 2022 |
| Voeding en voedingssupplementen bij Leeftijdsgebonden maculadegeneratie P Heus, J Damen, CA Navarro, R Spijker, K Lindsley, S Nijman, ... | | 2020 |
| To be submitted to JCE 31 Word Count: 4036 32 Correspondence to: Constanza L Andaur Navarro, cl andaurnavarro@ umcutrecht. nl 33 Julius Centre for Health Sciences and Primary … CLA Navarro, JAA Damen, M van Smeden, T Takada, SWJ Nijman, ... | | |
| " Spin" practices and reporting standards in studies on clinical prediction models developed using machine learning: systematic review CLA Navarro, JAA Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... QUALITY OF MACHINE LEARNING PREDICTION MODELS IN HEALTHCARE, 55, 0 | | |
Toshihiko Takada, MD, MPH, MSc, PhDAssociate Professor, Department of General Medicine, Shirakawa Satellite for Teaching And ResearchEmail confirmado em water.ocn.ne.jp
