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Abstract

Grant Number:	5R01LM008635-02
Project Title:	A Biomedical Natural Language Processing Resource

PI Information:	Name	Email	Title
	FRIEDMAN, CAROL	carol.friedman@dbmi.columbia.edu	ADJUNCT PROFESSOR

Abstract: DESCRIPTION: The long-term aim of this project is to advance clinical care and biomedical research by establishing a natural language processing (NLP) resource for the biomedical community. A major bottleneck for development of automated tools for clinical applications and biomedical research is that most of the data and knowledge occur in the form of text, resulting in a lack of coded data. This NLP resource will make possible a host of automated applications by enabling high throughput access to coded biomedical knowledge and data. The foundation of this resource will be the MedLEE NLP system, which has been used operationally for almost a decade in healthcare settings for a broad range of applications that have proven to be valuable for clinical care. The NLP resource will also include BioMedLEE (a derivative of MedLEE), which encodes genotypic-phenotypic (GP) relations in the scientific literature. It currently focuses on GP relations associated with cancer and infectious diseases, and is being used to organize the extracted information to facilitate research, curation, and ontological development within model organism databases. This proposal will enable us to 1) disseminate our NLP resource to the community, 2) conduct technological research and development (R&D) to facilitate expansion and adaptation of the resource to new applications and specialties, 3) conduct R&D of tools that facilitate use of the extracted data and knowledge after coding, and 4) promote the resource, and provide service to users in the form of technical support, documentation, and tutorials. MedLEE and BioMedLEE are extendable systems that encompass the clinical and scientific communities. The dissemination of a proven NLP system that is applicable to the entire biomedical community provides an exceptional opportunity for multiple developers and researchers to work to unleash the true potential of NLP technology, increasing development of applications that aim to enhance scientific research and improve all levels of health.

Public Health Relevance:
This Public Health Relevance is not available.

Thesaurus Terms:
artificial intelligence, biomedical resource, computer assisted patient care, computer program /software, computer system design /evaluation, health science research
automated medical record system, bioinformatics, biomedical automation, data management, high throughput technology
clinical research, human data

Institution:	COLUMBIA UNIVERSITY HEALTH SCIENCES
	Columbia University Medical Center
	NEW YORK, NY 100323702
Fiscal Year:	2006
Department:	BIOMEDICAL INFORMATICS
Project Start:	01-JUL-2005
Project End:	30-JUN-2009
ICD:	NATIONAL LIBRARY OF MEDICINE
IRG:	ZLM1

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