Computational Intelligence and Healthcare Informatics

21Application of Natural Language Processing in Healthcare

Khushi Roy¹, Subhra Debdas², Sayantan Kundu^1*, Shalini Chouhan¹, Shivangi Mohanty¹ and Biswarup Biswas³

¹School of Computer Science and Engineering, KIIT Deemed to be University, India

²School of Electrical Engineering, KIIT Deemed to be University, India

³School of Computer Science Engineering, KIIT Deemed to be University, India

Abstract

The demand and recognition of Natural Language Processing(NLP) has been increasing in the clinical research field over the past few years. NLP is cost-efficient and it has been proven to be the best alternative to get the information in a structured manner. Research studies are assessed based on the patient-population grade; this is typically based on how a group of patients will respond or react to a particular therapy. Despite considering various predictions of NLP jobs at individual or on group of individuals, these assessments could not give the complete result. Because of the differences or inconsistency of the scientific assessments and discrepancy in the methodological assessments, it is quite tough to get the clear orientation. Various challenging issues involved in deciding the exact extrinsic and intrinsic assessment methods for NLP are discussed here, which can be used for the research of clinical outcomes. Mental health research is one of the main focuses of this study, because this area has not been explored by many of the NLP researcher’s despite its significant relevance ...