Feb. 12, 2024, 5:43 a.m. | Ping Chang Huayu Li Stuart F. Quan Shuyang Lu Shu-Fen Wung Janet Roveda Ao Li

cs.LG updates on arXiv.org arxiv.org

Background and Objective: Vital sign monitoring in the Intensive Care Unit (ICU) is crucial for enabling prompt interventions for patients. This underscores the need for an accurate predictive system. Therefore, this study proposes a novel deep learning approach for forecasting Heart Rate (HR), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP) in the ICU. Methods: We extracted $24,886$ ICU stays from the MIMIC-III database which contains data from over $46$ thousand patients, to train and test the model. The …


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