Ascertainment of Veterans With Metastatic Prostate Cancer in Electronic Health Records: Demonstrating the Case for Natural Language Processing.

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Bibliographic Details
Title: Ascertainment of Veterans With Metastatic Prostate Cancer in Electronic Health Records: Demonstrating the Case for Natural Language Processing.
Authors: Alba PR; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Gao A; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Lee KM; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Anglin-Foote T; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Robison B; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Katsoulakis E; Department of Radiation Oncology, James A. Haley Veterans Affairs Healthcare System, Tampa, FL., Rose BS; VA San Diego Health Care System, La Jolla, CA.; Division of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA., Efimova O; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Ferraro JP; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Patterson OV; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Shelton JB; VA Greater Los Angeles Healthcare System, Los Angeles, CA.; University of California, Los Angeles School of Medicine, Los Angeles, CA., Duvall SL; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT., Lynch JA; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT.; Department of Nursing and Health Sciences, University of Massachusetts, Boston, Boston, MA.
Source: JCO clinical cancer informatics [JCO Clin Cancer Inform] 2021 Sep; Vol. 5, pp. 1005-1014.
Publication Type: Journal Article
Journal Info: Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101708809 Publication Model: Print Cited Medium: Internet ISSN: 2473-4276 (Electronic) Linking ISSN: 24734276 NLM ISO Abbreviation: JCO Clin Cancer Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2473-4276
DOI:10.1200/CCI.21.00030