A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit.

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第一作者： Ping,Chang

第一单位： Department of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ, USA.

作者： Ping,Chang ^[1] ; Huayu,Li ^[1] ; Stuart F,Quan ^[2] ; Shuyang,Lu ^[3] ; Shu-Fen,Wung ^[4] ; Janet,Roveda ^[5] ; Ao,Li ^[6]

作者单位： Department of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ, USA. ^[1] Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Asthma and Airway Disease Research Center, College of Medicine, The University of Arizona, Tucson, AZ, USA. ^[2] Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, PR China; The Shanghai Institute of Cardiovascular Diseases, Shanghai, PR China. ^[3] Bio5 Institute, The University of Arizona, Tucson, AZ, USA; College of Nursing, The University of Arizona, Tucson, AZ, USA. ^[4] Department of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ, USA; Bio5 Institute, The University of Arizona, Tucson, AZ, USA; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, USA. ^[5] Department of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ, USA; Bio5 Institute, The University of Arizona, Tucson, AZ, USA. Electronic address: aoli1@arizona.edu. ^[6]

关键词 Deep learning ICU Sparse data Time series forecasting Vital signs

主题词人类(Humans);血压(Blood Pressure);心率(Heart Rate);重症监护病房(Intensive Care Units);生命体征(Vital Signs);模型, 统计学(Models, Statistical)

DOI 10.1016/j.cmpb.2024.108060

PMID 38350189

发布时间 2024-03-16

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