Smart Health: Natural Language Processing based Question and Answering Retrieval System in Healthcare
Warish D. Patel, Chirag I Patel, Bhupendra Ramani, Sourabh Bhaskar · Journal of Emerging Technologies and Innovative Research · 2019
The healthcare system may be a data-driven trade that consists of large and growing volumes of narrative data obtained from discharge summaries/reports, physicians case notes, pathologists similarly as radiologists reports. This data is typically held on in unstructured and non-standardized formats in electronic healthcare systems that create it tough for the systems to grasp {the data the knowledge the data} contents of the narrative information. Thus, access to valuable and pregnant attention data for deciding may be a challenge. all the same, natural language processing (NLP) techniques are accustomed structure narrative data inattention. Thus, NLP techniques have the potential to capture unstructured healthcare data, analyze its grammatical structure. Question and Answering System is one of the major researches is in Natural Language. Main challenges of Question and Answer system gives an exact answer of question which gives by Patient (User). Question and Answering system can be classified into three categories are an open domain, closed domain, and restricted domain. Using advanced Natural Language Processing tool, we will be developed a framework for question answering system. In this paper, we work on the restricted domain question answering system. Proposed system works on keyword and question matching and returns a precise answer to the question.