Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results

Objective The extraction of specific data from electronic medical records (EMR) remains tedious and is often performed manually. Natural language processing (NLP) programs have been developed to identify and extract information within clinical narrative text. We performed a study to assess the valid...

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Veröffentlicht in:	World journal of urology 2014-02, Vol.32 (1), p.99-103
Hauptverfasser:	Thomas, Anil A., Zheng, Chengyi, Jung, Howard, Chang, Allen, Kim, Brian, Gelfond, Joy, Slezak, Jeff, Porter, Kim, Jacobsen, Steven J., Chien, Gary W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenocarcinoma - diagnosis Adenocarcinoma - pathology Biopsy California Cross-Sectional Studies Electronic Health Records - statistics & numerical data Humans Information Storage and Retrieval - methods Male Medicine Medicine & Public Health Natural Language Processing Nephrology Oncology Original Article Prostate - pathology Prostatic Neoplasms - diagnosis Prostatic Neoplasms - pathology Reproducibility of Results Retrospective Studies Sensitivity and Specificity Urology
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