학술논문
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine
Document Type
Article
Author
Bergquist, T.; Schaffter, T.; Yan, Y.; Yu, T.; Guinney, J.; Von Yu, T.; Mooney, S.D.; Luo, G.; Yetisgen, M.; Hammarlund, N.; Mooney, S.; Pejaver, V.; Prosser, J.; Gao, J.; Chen, G.; Łukasz, C.; Nawalany, Z.; Charzewski, Ł.; Brugere, I.; Retkute, R.; Prusokas, A.; Prusokas, A.; Choi, Y.; Lee, S.; Choe, J.; Kim, S.; Kang, J.; Lee, I.; Lee, A.; Salehzadeh-Yazdi, A.; Basu, A.; Muir, P.; Belouali, A.; Gupta, S.; Kannattikuni, S.; Becker, A.-K.; Schweinoch, D.; Kaderali, L.; Vollmer, M.; Nath, N.; Müller-Stricker, O.; Simm, S.; Israel, A.; Winter, B.; Waltemath, D.; Truthmann, J.; Henkel, R.; Gupta, Y.; Moreno, C.V.; Glaab, E.; Banda, P.; Ghosh, S.; Satagopam, V.; Kurz, C.; Zacharias, H.U.; Qiao, H.; Stephens, K.A.; Varshney, L.R.; Pandi, M.-T.; Togias, P.; Gunn, M.L.; Neumann, S.; Heagerty, P.J.; Madgi, S.; Omar, S.; Sarhadi, S.; Wang, S.; Madhavan, S.
Source
In: Journal of the American Medical Informatics Association . (Journal of the American Medical Informatics Association, 1 January 2024, 31(1):35-44)
Subject
Language
English
ISSN
1527974X
10675027
10675027