医疗保健联合学习方法的最新进展

IF 6.7 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Patterns Pub Date : 2024-06-01 DOI:10.1016/j.patter.2024.101006
Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert Asselbergs, Sujoy Kar, S. Sivapalaratnam, Sophie Williams, Mickey Koh, Y. Henskens, Bart de Wit, Umberto D’Alessandro, B. Bah, Ousman Secka, P. Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, G. A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, James H. F. Rudd, Carola-Bibiane Schӧnlieb, Nicholas Gleadall, Michael Roberts, J. Preller, James H. F. Rudd, J. A. Aston, C. Schönlieb
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Recent methodological advances in federated learning for healthcare
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来源期刊
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
期刊介绍:
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AnnoMate: Exploring and annotating integrated molecular data through custom interactive visualizations Balancing innovation and integrity in peer review The stacking cell puzzle To democratize research with sensitive data, we should make synthetic data more accessible FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare
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