Abstract

PREDICTION OF INFORMATIVE REGIONS IN MEDICAL TEXT USING MACHINE LEARNING TECHNIQUES

*G. Bino Patric Prakash, Shomona Gracia Jacob and S. Radha Meena

ABSTRACT

Machine Learning is the science of getting computers to act without being explicitly programmed. Machine learning is gradually making its way into medical domain and has become the most reliable and accurate tool. This paper provides an overview of the development of intelligent data analysis in medical data (Medline) using a machine learning perspective. Medical data contains information about the nature of disease and the effectiveness of treatments. The process of identifying and disseminating the disease and treatment related to a sentence from the Medline abstracts is a difficult task. In this paper we aim at investigating the performance of supervised learning algorithms in order to develop an application that can accurately identify and disseminate the healthcare information that can be utilized by both healthcare providers and patients. This is the first step towards achieving reliable/accurate disease and treatment related information which is useful for better understanding.

Keywords: Machine Learning (ML), Natural Language Processing (NLP), Classification, Medline and Healthcare.