Identifying Medical Terms Related to Specific Diseases

We present an automated disease term classification model using machine learning techniques that classifies a medical term to a specific disease class. We work on five particular diseases: Cancer, AIDS, Arthritis, Diabetes and heart related ailments. We identify and classify medical terms like drug...

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Bibliographic Details
Main Authors: Shekhar, Mihir, Chikka, Veera Raghavendra, Thomas, Lini, Mandhan, Sunil, Karlapalem, Kamalakar
Format: Conference Proceeding
Language:English
Subjects:
Abbreviations
Aids
Classification
Conferences
Data mining
Diabetes
Disease Term Classification
Diseases
Drugs
Heart
Machine Learning
Medical
Medical diagnostic imaging
Medical Term Identification
Names
Unified Medical Language System (UMLS)
Unified modeling language
Workshops
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Description
Summary:We present an automated disease term classification model using machine learning techniques that classifies a medical term to a specific disease class. We work on five particular diseases: Cancer, AIDS, Arthritis, Diabetes and heart related ailments. We identify and classify medical terms like drug names, symptoms, abbreviations, disease names, tests, etc., into their specific diseases classes. The results illustrate that our model for disease term classification finds all disease term classes with an average F-score of 0.966.
ISSN:2375-9259
DOI:10.1109/ICDMW.2015.71