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Development and validation of artificial intelligence models to predict urinary tract infections and secondary bloodstream infections in adult patients.
Choi, Min Hyuk; Kim, Dokyun; Park, Yongjung; Jeong, Seok Hoon.
Affiliation
  • Choi MH; Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, South Korea; Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, South Korea.
  • Kim D; Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, South Korea; Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, South Korea. Electronic address: kyunsky@yuhs.ac.
  • Park Y; Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, South Korea. Electronic address: YPARK119@yuhs.ac.
  • Jeong SH; Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, South Korea; Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, South Korea.
J Infect Public Health ; 17(1): 10-17, 2024 Jan.
Article in En | MEDLINE | ID: mdl-37988812
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Full text: 1 Database: MEDLINE Main subject: Urinary Tract Infections / Artificial Intelligence Limits: Adult / Humans Language: En Year: 2024 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Urinary Tract Infections / Artificial Intelligence Limits: Adult / Humans Language: En Year: 2024 Type: Article