Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study.

Sung, MinDong; Hahn, Sangchul; Han, Chang Hoon; Lee, Jung Mo; Lee, Jayoung; Yoo, Jinkyu; Heo, Jay; Kim, Young Sam; Chung, Kyung Soo

Sung, MinDong; Hahn, Sangchul; Han, Chang Hoon; Lee, Jung Mo; Lee, Jayoung; Yoo, Jinkyu; Heo, Jay; Kim, Young Sam; Chung, Kyung Soo.

Afiliação

Sung M; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hahn S; AITRICS. Inc, Seoul, Republic of Korea.
Han CH; Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang-si, Republic of Korea.
Lee JM; Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang-si, Republic of Korea.
Lee J; AITRICS. Inc, Seoul, Republic of Korea.
Yoo J; AITRICS. Inc, Seoul, Republic of Korea.
Heo J; Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Kim YS; Division of Pulmonology, Department of Internal Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Chung KS; Division of Pulmonology, Department of Internal Medicine, Yonsei University Health System, Seoul, Republic of Korea.

JMIR Med Inform ; 9(11): e26426, 2021 Nov 04.

Article em En | MEDLINE | ID: mdl-34734837

Palavras-chave

AKI; critical care; intensive care unit; machine learning; mortality; prediction model; sepsis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2021 Tipo de documento: Article

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