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pro vyhledávání: '"Conte, Joseph"'
Autor:
Acharya, Angeela, Shrestha, Sulabh, Chen, Anyi, Conte, Joseph, Avramovic, Sanja, Sikdar, Siddhartha, Anastasopoulos, Antonios, Das, Sanmay
The utilization of Electronic Health Records (EHRs) for clinical risk prediction is on the rise. However, strict privacy regulations limit access to comprehensive health records, making it challenging to apply standard machine learning algorithms in
Externí odkaz:
http://arxiv.org/abs/2312.03742
Autor:
Acharya, Angeela1 (AUTHOR) aachary@gmu.edu, Shrestha, Sulabh1 (AUTHOR), Chen, Anyi2 (AUTHOR), Conte, Joseph2 (AUTHOR), Avramovic, Sanja1 (AUTHOR), Sikdar, Siddhartha1 (AUTHOR), Anastasopoulos, Antonios1 (AUTHOR), Das, Sanmay1 (AUTHOR)
Publikováno v:
Journal of the American Medical Informatics Association. Sep2024, Vol. 31 Issue 9, p1856-1864. 9p.
Autor:
Conte, Joseph Richard, III
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.
Pages 46-85 printed landscape format. Cataloged from PDF version of thesis.
Includes bibliographical references (p. 44-45).
A plasma space pro
Pages 46-85 printed landscape format. Cataloged from PDF version of thesis.
Includes bibliographical references (p. 44-45).
A plasma space pro
Externí odkaz:
http://hdl.handle.net/1721.1/72841
Akademický článek
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