Shekhar, MihirMihirShekharChikka, Veera RaghavendraVeera RaghavendraChikkaThomas, LiniLiniThomasMandhan, SunilSunilMandhanKarlapalem, KamalakarKamalakarKarlapalem2025-08-302025-08-302016-01-29[9781467384926]10.1109/ICDMW.2015.712-s2.0-84964744589https://d8.irins.org/handle/IITG2025/21964We 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.falseDisease Term Classification | Machine Learning | Medical Term Identification | Unified Medical Language System (UMLS)Conference Paper170-17729 January 201627395668cpConference Proceeding1