Development of a deep learning model that predicts critical events of pediatric patients admitted to general wards

• Published in: Scientific reports Vol. 14; no. 1; p. 4707
• Main Authors: Jeon, Yonghyuk, Kim, You Sun, Jang, Wonjin, Park, June Dong, Lee, Bongjin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 27.02.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 692/308; 692/499; Age; Cardiopulmonary resuscitation; Child; CPR; Datasets; Deep Learning; Hospitalization; Humanities and Social Sciences; Humans; Intensive Care Units; multidisciplinary; Observational studies; Patients; Patients' Rooms; Pediatrics; Prediction models; Retrospective Studies; ROC Curve; Science; Science (multidisciplinary)

Early detection of deteriorating patients is important to prevent life-threatening events and improve clinical outcomes. Efforts have been made to detect or prevent major events such as cardiopulmonary resuscitation, but previously developed tools are often complicated and time-consuming, rendering...