Work

Distributed learning from multiple EHR databases: Contextual embedding models for medical events

Year: 2019

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2019.103138

Authors: Ziyi Li, Kirk Roberts, Xiaoqian Jiang, Qi Long

Institutions: Emory University, The University of Texas Health Science Center at Houston, University of Pennsylvania

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: Patient-Centered Outcomes Research Institute, National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine

Awards: G1067511982, G1095105815, Privacy-preserving methods and tools for handling missing data in distributed health data networks, G1403651065, G2032202629, G2184806701, iCONCUR: informed CONsent for Clinical data and biosample Use for Research, G4073300813, G4499996666, G5759658457, G87058208, G9000013529, G9000023857, G9000026819, G9000105665, G9000127251, G9000249462, G9000288355, G9000350659

OpenAlex ID: W2917418342

FWCI: 2.505

Cites: 31

Cited by: 44

Related to: 10