Identification of Semantic Relation for Disease-Treatment Using Machine Learning Approach

The Machine Learning (ML) is almost used in any domain of research and now it has become a reliable tool in the medical domain.ML is a tool by which medical field is integrated with the computer based systems to provide more efficient medical care. The main objective of this work is to show what Natural Language Processing (NLP) and Machine Learning (ML) techniques used for representation of information and what classification algorithms are suitable for identifying and classifying relevant medical information in short texts. It is difficult task to identify the informative sentences in fields such as summarization and information extraction. The work and contribution value with this task is helpful in results and in settings for this task in healthcare field. It provides classification of disease, its cure and prevention. It acknowledges the fact that tools capable of identifying reliable information in the medical domain stand as building blocks for a healthcare system that is up-to-date with the latest discoveries. In this research, it focuses on diseases and treatment information, and the relation that exists between these two entities.