Work

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

Year: 2024

Type: article

Source: Computer Methods and Programs in Biomedicine

DOI: 10.1016/j.cmpb.2024.108060

Authors: Ping Chang, Huayu Li, Stuart F. Quan, Shuyang Lu, Shu-Fen Wung, Janet Roveda, Ao Li

Institutions: University of Arizona, Brigham and Women's Hospital, Harvard University, Shanghai Medical College of Fudan University, Fudan University, Zhongshan Hospital, BIO5 Institute

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, National Heart, Lung, and Blood Institute

Awards: Explainable Deep Learning Approach for Automatic Arousal and Sleep Stages Scoring, and Knowledge Discovery, IUCRC Phase I UArizona: Center to Stream Healthcare In Place (C2SHIP), G586522604, G859029635, G94034882

OpenAlex ID: W4391642957

FWCI: 3.764

Cites: 36

Cited by: 32

Related to: 10