Work

Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record

Year: 2019

Type: article

Source: Urology

DOI: 10.1016/j.urology.2019.07.007

Authors: Cosmin A. Bejan, Daniel J. Lee, Yaomin Xu, Ryan S. Hsi

Institutions: Vanderbilt University Medical Center, University of Pennsylvania Health System, Leonard Davis Institute of Health Economics

Language: English

Topic: Kidney Stones and Urolithiasis Treatments

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Center for Advancing Translational Sciences

Award: Vanderbilt Institute for Clinical and Translational Research (VICTR)

OpenAlex ID: W2958256783

FWCI: 1.101

Cites: 35

Cited by: 10

Related to: 10