Deep Learning-Based Early Warning Systems in Hospitalized Patients at Risk of Code Blue Events and Length of Stay: Retrospective Real-World Implementation Study.
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| Title: | Deep Learning-Based Early Warning Systems in Hospitalized Patients at Risk of Code Blue Events and Length of Stay: Retrospective Real-World Implementation Study. |
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| Authors: | Kim JH; AITRICS Corp, 218 Teheran-ro, Gangnam-gu, Seoul, 06221, Republic of Korea, 82 025695507, 82 025695508., Cho EY; AITRICS Corp, 218 Teheran-ro, Gangnam-gu, Seoul, 06221, Republic of Korea, 82 025695507, 82 025695508., Choi Y; AITRICS Corp, 218 Teheran-ro, Gangnam-gu, Seoul, 06221, Republic of Korea, 82 025695507, 82 025695508., Won JY; AITRICS Corp, 218 Teheran-ro, Gangnam-gu, Seoul, 06221, Republic of Korea, 82 025695507, 82 025695508., Cheon SH; Department of Medical Management, Presbyterian Medical Center, Jeonju, Republic of Korea., Kim YA; Department of Computing Information, Presbyterian Medical Center, Jeonju, Republic of Korea., Lee KB; AITRICS Corp, 218 Teheran-ro, Gangnam-gu, Seoul, 06221, Republic of Korea, 82 025695507, 82 025695508.; Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea., Kim KJ; AITRICS Corp, 218 Teheran-ro, Gangnam-gu, Seoul, 06221, Republic of Korea, 82 025695507, 82 025695508.; Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim HG; Department of Emergency Medicine, Presbyterian Medical Center, Jeonju, Republic of Korea., Sim T; AITRICS Corp, 218 Teheran-ro, Gangnam-gu, Seoul, 06221, Republic of Korea, 82 025695507, 82 025695508. |
| Source: | JMIR medical informatics [JMIR Med Inform] 2025 Aug 22; Vol. 13, pp. e72232. Date of Electronic Publication: 2025 Aug 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2291-9694 |
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| DOI: | 10.2196/72232 |