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Predictive monitoring for early detection of subacute potentially catastrophic illnesses in critical care.

, , , , , , , and . EMBC, page 5515-5518. IEEE, (2011)

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Heart rate characteristics monitoring for neonatal sepsis., , and . IEEE Trans. Biomed. Eng., 53 (1): 126-132 (2006)Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis., , , , , , and . npj Digit. Medicine, (2022)Application of dynamical analyses of heart rate to rhythm classification and prognosis., , , , , and . EMBC, page 1723-1726. IEEE, (2014)Predictive monitoring for early detection of subacute potentially catastrophic illnesses in critical care., , , , , , , and . EMBC, page 5515-5518. IEEE, (2011)Control of Confounding and Reporting of Results in Causal Inference Studies. Guidance for Authors from Editors of Respiratory, Sleep, and Critical Care Journals., , , , , , , , , and 38 other author(s). Annals of the American Thoracic Society, 16 (1): 22-28 (January 2019)Causalitat; Confounding; Introductori<br/><br/>Bona Figura i recursos.Phenotype clustering in health care: A narrative review for clinicians., , , , , , , , , and 7 other author(s). Frontiers Artif. Intell., (2022)FAIRSCAPE: a Framework for FAIR and Reproducible Biomedical Analytics., , , , , , and . Neuroinformatics, 20 (1): 187-202 (2022)Hemorrhage Prediction Models in Surgical Intensive Care: Bedside Monitoring Data Adds Information to Lab Values., , , , , , and . IEEE J. Biomed. Health Informatics, 21 (6): 1703-1710 (2017)The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU.. npj Digit. Medicine, (2022)Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks., , , , , and . IEEE J. Biomed. Health Informatics, 26 (2): 572-580 (2022)