Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

Applications of machine learning in healthcare are of high interest and have the potential to improve patient care. Yet, the real-world accuracy of these models in clinical practice and on different patient subpopulations remains unclear. To address these important questions, we hosted a community c...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA Jg. 31; H. 1; S. 35
Hauptverfasser:	Bergquist, Timothy, Schaffter, Thomas, Yan, Yao, Yu, Thomas, Prosser, Justin, Gao, Jifan, Chen, Guanhua, Charzewski, Łukasz, Nawalany, Zofia, Brugere, Ivan, Retkute, Renata, Prusokas, Alidivinas, Prusokas, Augustinas, Choi, Yonghwa, Lee, Sanghoon, Choe, Junseok, Lee, Inggeol, Kim, Sunkyu, Kang, Jaewoo, Mooney, Sean D, Guinney, Justin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 22.12.2023
Schlagworte:	Algorithms Artificial Intelligence Crowdsourcing Humans Machine Learning Medicine evaluation machine learning health informatics
ISSN:	1527-974X, 1527-974X
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