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Learning competing risks across multiple hospitals: one-shot distributed algorithms.

Dazheng ZhangJiayi TongNaimin JingYuchen YangChongliang LuoYiwen LuDimitri A ChristakisDiana GütheMady HornigKelly J KelleherKeith E MorseColin M RogersonJasmin DiversRaymond J CarrollChristopher B ForrestYong Chen
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
Our study demonstrates that our ODACoR algorithms are communication-efficient and can be widely applicable for analyzing multiple clinical conditions in a time-to-event analysis framework.
Keyphrases
  • machine learning
  • deep learning
  • healthcare
  • risk assessment
  • neural network