C
Carol Friedman
Researcher at Columbia University
Publications - 214
Citations - 13022
Carol Friedman is an academic researcher from Columbia University. The author has contributed to research in topics: Unified Medical Language System & Natural language. The author has an hindex of 61, co-authored 214 publications receiving 12164 citations. Previous affiliations of Carol Friedman include Courant Institute of Mathematical Sciences & Columbia University Medical Center.
Papers
More filters
Journal ArticleDOI
A General Natural-language Text Processor for Clinical Radiology
TL;DR: Development of a general natural-language processor that identifies clinical information in narrative reports and maps that information into a structured representation containing clinical terms, using radiology as the test domain.
Journal ArticleDOI
GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles.
TL;DR: A system is presented that extracts and structures information about cellular pathways from the biological literature in accordance with a knowledge model that was developed earlier and implemented by modifying an existing medical natural language processing system.
Journal ArticleDOI
Automated encoding of clinical documents based on natural language processing.
TL;DR: Extraction of relevant clinical information and UMLS coding were accomplished using a method based on NLP that appeared to be comparable to or better than six experts, rendering the coded output suitable for effective retrieval.
Journal ArticleDOI
Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing
George Hripcsak,Carol Friedman,Philip O. Alderson,William DuMouchel,Stephen B. Johnson,Paul D. Clayton +5 more
TL;DR: A general-purpose processor is evaluated that is intended to cover various clinical reports and converts narrative reports that are available in electronic form either through word processors or electronic scanning to coded descriptions that are appropriate for automated systems.
Journal ArticleDOI
Novel data-mining methodologies for adverse drug event discovery and analysis.
Rave Harpaz,William DuMouchel,William DuMouchel,Nigam H. Shah,David Madigan,David Madigan,Patrick B. Ryan,Patrick B. Ryan,Carol Friedman +8 more
TL;DR: An overview of recent methodological innovations and data sources used to support ADE discovery and analysis is provided.