A Suite of Natural Language Processing Tools Developed for the I2B2 Project

Overview

Journal AMIA Annu Symp Proc

Specialty Medical Informatics

Date 2007 Jan 24

PMID 17238550

Citations 30

Authors

Sergey Goryachev

Margarita Sordo

Qing T Zeng

Affiliations

Soon will be listed here.

Abstract

Textual medical records contain a wealth of information that needs to be extracted and / or indexed in order to be analyzed and interpreted by the automated tools. We have developed a collection of natural language processing (NLP) tools to extract various types of information from unstructured medical records. The generic NLP components, when assembled in pipelines and initialized with custom configuration parameters, become a powerful medical data mining instrument. We have successfully extracted such medical concepts as diagnoses, comorbidities, discharge medications, and smoking status from various types of medical records.

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