Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm

201280 citationsJournal Articlehybrid Open Access

Authors

Justin A Strauss · Kaiser Permanente

Chun Chao · Kaiser Permanente

Marilyn L. Kwan · Kaiser Permanente

Syed A. Ahmed · Kaiser Permanente Riverside Medical Center

Joanne E. Schottinger

Virginia P. Quinn · Kaiser Permanente

Abstract

SCENT is proof of concept for SAS-based natural language processing applications that can be easily shared between institutions and used to support clinical and epidemiologic research.

Topics & Keywords

SAS software applications and methods Statistical Methods in Clinical Trials

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Journal of the American Medical Informatics Association

Volume 20, Issue 2, pp. 349-355

DOI: 10.1136/amiajnl-2012-000928

Field-Weighted Citation Impact: 2.48