To Identify Disease Treatment Relationship in Short Text Using Machine Learning & Natural Language Processing

  • Khan Razik
  • Published 2013

Abstract

Due to advancements in medical domain automatic learning has gained popularity in the fields of medical decision support, extraction of medical knowledge and complete health management. Using Machine Learning(hereafter, ML) and Natural language Processing(hereafter, NLP) we can make the healthcare field more efficient and reliable. This paper describes how ML and NLP can be used for extracting knowledge from published medical papers. It extracts the sentences that mention diseases and treatments and identifies the relationship between them Kewwords: Automatic Learning, Medical Decision Support, Machine Learning, Natural Language processing, Healthcare.

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Cite this paper

@inproceedings{Razik2013ToID, title={To Identify Disease Treatment Relationship in Short Text Using Machine Learning & Natural Language Processing}, author={Khan Razik}, year={2013} }