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Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Additionally, Kim et al [18] developed an ensemble-based CA prediction system using the light gradient boosting method (LGBM) to predict CA 1 hour in advance, obtaining AUROC and AUPRC values of 0.86 and 0.58, respectively, using the MIMIC-IV data set. As mentioned earlier, artificial intelligence (AI) has been applied to CA prediction solutions and has demonstrated high predictive power in several studies [22].

Yun Kwan Kim, Won-Doo Seo, Sun Jung Lee, Ja Hyung Koo, Gyung Chul Kim, Hee Seok Song, Minji Lee

J Med Internet Res 2024;26:e62890