Artif Intell Med 2021 08 29;118:102118. Epub 2021 May 29.
Université de Paris, ECSTRRA team, Center of research in epidemiology and statistics (CRESS) - INSERM UMR 1153, 1 Parvis Notre-Dame - Pl. Jean-Paul II, Paris 75004, France; Department of Anesthesia and Perioperative Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, 1001 Potrero Ave, San Francisco, 94110, CA, United States. Electronic address:
Critical care clinicians are trained to analyze simultaneously multiple physiological parameters to predict critical conditions such as hemodynamic instability. We developed the Multi-task Learning Physiological Deep Learner (MTL-PDL), a deep learning algorithm that predicts simultaneously the mean arterial pressure (MAP) and the heart rate (HR). In an external validation dataset, our model exhibited very good calibration: R of 0. Read More