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Thirty-day hospital readmission prediction model based on common data model with weather and air quality data.
Ryu, Borim; Yoo, Sooyoung; Kim, Seok; Choi, Jinwook.
Affiliation
  • Ryu B; Office of eHealth Research and Business, Seoul National University Bundang Hospital, 172, Dolma-ro, Bundang-gu, Seongnam-si, 13605, Gyeonggi-do, Republic of Korea.
  • Yoo S; Department of Biomedical Engineering, College of Medicine, Seoul National University, 28 Yongon-Dong Chongro-Gu, Seoul, 110-799, Korea.
  • Kim S; Office of eHealth Research and Business, Seoul National University Bundang Hospital, 172, Dolma-ro, Bundang-gu, Seongnam-si, 13605, Gyeonggi-do, Republic of Korea. yoosoo0@snubh.org.
  • Choi J; Office of eHealth Research and Business, Seoul National University Bundang Hospital, 172, Dolma-ro, Bundang-gu, Seongnam-si, 13605, Gyeonggi-do, Republic of Korea.
Sci Rep ; 11(1): 23313, 2021 12 02.
Article in En | MEDLINE | ID: mdl-34857799
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Weather / Air Pollution Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article Country of publication: Reino Unido
Fulltext
Add to My VHL
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XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Weather / Air Pollution Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article Country of publication: Reino Unido