Abstract
NLP Based Retrieval of Medical Information is the extraction of medical data from narrative clinical documents. In this paper, we review Natural Language Processing (NLP) applications designed to extract medical problems from narrative text clinical documents. This paper also covers the methods used in this field and it also describes the architecture of the proposed system. However extraction of medical information is the difficult task due to complex symptom names and complex disease names. Proposed system is an expert system which will try to understand the input that can be the question about disease or list of symptoms and the system will try to give out the proper answer. Proposed system will consist of modules such as data processing, query processing, data extraction, answer matching, user interface etc. Lots of data are available in the medical field in free text form which is not used by normal rule based systems, so with the help of NLP we can use this free text data such as it will try to give out the answers that we search on our own.
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