A novel sparse linear mixed model for multi-source mixed-frequency data fusion in telemedicine-Reference-Cited by-同舟云学术

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A novel sparse linear mixed model for multi-source mixed-frequency data fusion in telemedicine

Published:2023-04-26 Issue:3 Volume:13 Page:215-225
ISSN:2472-5579
Container-title:IISE Transactions on Healthcare Systems Engineering
language:en
Short-container-title:IISE Transactions on Healthcare Systems Engineering

Author:

Alramadeen Wesam¹,Ding Yu¹,Costa Carlos²,Si Bing¹

Affiliation:

1. Department of Systems Science and Industrial Engineering, State University of New York at Binghamton, Binghamton, NY, USA

2. IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

Funder

National Heart, Lung, and Blood Institute

University of California, Davis

New York University

University of Minnesota

Johns Hopkins University

University of Arizona

University of Washington

Boston University

Case Western Reserve University

National Institutes of Health

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725579.2023.2202877

Reference50 articles.

1. Clinical diagnosis of sleep apnea based on single night of polysomnography vs. two nights of polysomnography

2. Multi-level Multi-channel Bio-signal Analysis for Health Telemonitoring

3. Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis

4. Mobile EEG in epilepsy

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