Work

Domain adaption of parsing for operative notes

Year: 2015

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2015.01.016

Authors: Yan Wang, Serguei Pakhomov, James O. Ryan, Genevieve B. Melton

Institutions: University of Minnesota, University of Minnesota System

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: American Surgical Association Foundation, University of Minnesota, National Institutes of Health, National Institute of General Medical Sciences, U.S. National Library of Medicine, National Center for Advancing Translational Sciences

Awards: G1744012358, University of Minnesota Clinical and Translational Science Institute (UMN CTSI), G3218576536, G3436112638, G6426029395

OpenAlex ID: W2083216144

FWCI: 1.251

Cites: 43

Cited by: 7

Related to: 10