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...

Celý popis

Podrobná bibliografie

Vydáno v:	Journal of the American Medical Informatics Association : JAMIA Ročník 31; číslo 1; s. 35
Hlavní autoři:	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
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 22.12.2023
Témata:	Algorithms Artificial Intelligence Crowdsourcing Humans Machine Learning Medicine evaluation machine learning health informatics
ISSN:	1527-974X, 1527-974X
On-line přístup:	Zjistit podrobnosti o přístupu
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!