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Evaluation of machine learning solutions in medicine
Tony Antoniou and Muhammad Mamdani
CMAJ September 13, 2021 193 (36) E1425-E1429; DOI: https://doi.org/10.1503/cmaj.210036
Tony Antoniou
Li Ka Shing Centre for Healthcare Analytics Research & Training (Antoniou, Mamdani), Unity Health Toronto; Li Ka Shing Knowledge Institute (Antoniou, Mamdani), Unity Health Toronto; Department of Family and Community Medicine (Antoniou), Unity Health Toronto and University of Toronto; Temerty Faculty of Medicine (Mamdani) and Leslie Dan Faculty of Pharmacy (Mamdani), University of Toronto; Institute of Health Policy, Management, and Evaluation (Mamdani), University of Toronto, Toronto, Ont.
PhDMuhammad Mamdani
Li Ka Shing Centre for Healthcare Analytics Research & Training (Antoniou, Mamdani), Unity Health Toronto; Li Ka Shing Knowledge Institute (Antoniou, Mamdani), Unity Health Toronto; Department of Family and Community Medicine (Antoniou), Unity Health Toronto and University of Toronto; Temerty Faculty of Medicine (Mamdani) and Leslie Dan Faculty of Pharmacy (Mamdani), University of Toronto; Institute of Health Policy, Management, and Evaluation (Mamdani), University of Toronto, Toronto, Ont.
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- Verma, A. A., Murray, J., Greiner, R., Cohen, J. P., Shojania, K. G., Ghassemi, M., Straus, S. E., Pou-Prom, C., & Mamdani, M. (2021). Implementing machine learning in medicine. CMAJ, 193(34), E1351-E1357. Accessed July 16, 2024. https://doi.org/10.1503/cmaj.202434.
- Cohen, J. P., Cao, T., Viviano, J. D., Huang, C., Fralick, M., Ghassemi, M., Mamdani, M., Greiner, R., & Bengio, Y. (2021). Problems in the deployment of machine-learned models in health care. CMAJ, 193(35), E1391-E1394. Accessed July 17, 2024. https://doi.org/10.1503/cmaj.202066.
- Antoniou, T., & Mamdani, M. (2021). Évaluation des solutions fondées sur l’apprentissage machine en santé. CMAJ, 193(44), E1720-E1724. Accessed July 17, 2024. https://doi.org/10.1503/cmaj.210036-f.
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Evaluation of machine learning solutions in medicine
Tony Antoniou, Muhammad Mamdani
CMAJ Sep 2021, 193 (36) E1425-E1429; DOI: 10.1503/cmaj.210036
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- Article
- What is the process of model or algorithm development and interval validation?
- How should machine-learned solutions be validated clinically?
- How can we establish whether machine-learned solutions improve patient outcomes?
- How can the implementation of machine-learned solutions be optimized?
- Why is ongoing postimplementation evaluation necessary?
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- Biased data lead to biased algorithms
- Mise en {oelig}uvre de lapprentissage machine en sante
- Problemes associes au deploiement des modeles fondes sur lapprentissage machine en sante
- Problems in the deployment of machine-learned models in health care
- Implementing machine learning in medicine
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