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Missing data imputation is a critical challenge in tabular datasets, especially in healthcare, where data completeness is vital for accurate analysis. Large language models (LLMs), trained on vast corpora, have shown strong potential in data generati
Externí odkaz:
http://arxiv.org/abs/2410.21520
Publikováno v:
In Endocrine Practice October 2024 30(10):957-962
Contextual multi-armed bandit has shown to be an effective tool in recommender systems. In this paper, we study a novel problem of multi-facet bandits involving a group of bandits, each characterizing the users' needs from one unique aspect. In each
Externí odkaz:
http://arxiv.org/abs/2106.03039
Publikováno v:
In Endocrine Practice October 2024
Publikováno v:
In Applied Nursing Research December 2020 56
Autor:
Munshi, Vidit N., Saghafian, Soroush, Cook, Curtiss B., Eric Steidley, D., Hardaway, Brian, Chakkera, Harini A.
Publikováno v:
In The American Journal of Cardiology 1 February 2020 125(3):436-440
Akademický článek
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Autor:
Martinez Gil, Mercedes, Fonseca, Rodrigo, Tehrani, Leila K., Castro, Janna C., Meek, Shon E., Thompson, Bithika M., Cook, Curtiss B.
Publikováno v:
Hospital Practice; May 2024, Vol. 52 Issue: 3 p98-104, 7p
Autor:
Karlin, Nina J. *, Amin, Shailja B., Verona, Patricia M., Kosiorek, Heidi E., Cook, Curtiss B.
Publikováno v:
In Endocrine Practice July 2017 23(7):816-821
Autor:
Perez, Shari T., Mackey, Patricia, Garcia, Heidi, Larson-Cain, Tammy L., Frederixon, Melanie A., Jameson, Kimberly A., Frye, James M., Cook, Curtiss B.
Publikováno v:
In The Journal for Nurse Practitioners April 2017 13(4):296-302