Biomedical Natural Language Processing

Project Details

Project Lead
Euisung Jung 
Project Manager
Euisung Jung 
Institution
University of Wisconsin at Milwaukee, Business / MIS department  
Discipline
Health-related, n.e.c. (722) 
Subdiscipline
52.1201 Management Information Systems 

Abstract

A variety of methods has been employed to process medical text, extract facts, and recognize a specific range of adverse events in patient records, but each of these methods has certain limitations. However, text mining could provide valuable approaches to a medical text analysis. Thus, I will apply various text mining methods to analyze medical text.

Intellectual Merit

Since unstructured information is typically text-heavy, irregularities and ambiguities that make it difficult to understand using traditional methods. However, text mining could provide valuable approaches to a medical text analysis. We can propose automated process of bio-medical contents analysis.

Broader Impacts

This study can help not only medical researcher but also patients.

Scale of Use

Run multiple threads for text analyze

Results

Statistical and linguistical analysis of clinical text