Health Analysis System Using Machine Learning

نویسنده

  • Pravin Shinde
چکیده

This Paper presents efficient machine learning algorithms and techniques used in extracting disease and treatment related sentences from short text published in medical papers. The main objective of this work is to show what Natural Language Processing (NLP) and machine learning techniques used for representation of information and what classification algorithms are suitable for identifying & classifying relevant medical information in short text. This paper also present healthcare diagnosis treatment & prevention of disease, illness, injury in human. The domain is automatically learn some task of healthcare information, medical management, Patient health information etc. The proposed technique can be integrated with any medical management system to make better medical decision and in patient management system can automatically mining biomedical information from digital repositories.

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تاریخ انتشار 2014