Work

Automatic inference of BI-RADS final assessment categories from narrative mammography report findings

Year: 2019

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2019.103137

Authors: Imon Banerjee, Selen Bozkurt, Emel Alkim, Hersh Sagreiya, Allison W. Kurian, Daniel L. Rubin

Institutions: Stanford Medicine, Stanford University, Akdeniz University

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Breast Cancer Research Foundation, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, National Institutes of Health, National Cancer Institute

Awards: G2550767902, G3542229753, G6251337527, G8225195793, G8369618851, G9000006789, G9000352769, Stanford Cancer Imaging Training (SCIT) Program

OpenAlex ID: W2917682189

FWCI: 1.074

Cites: 34

Cited by: 28

Related to: 10