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Review on Health Care Claim Processing Using Text Mining and Natural Language Processing

International Journal of Research in Signal Processing, Computing & Communication System Design

Volume 4 Issue 2

Published: 2018
Author(s) Name: Tushar Gonawala, Hima Khimani, Ruchi Patel and Vatsal Shah | Author(s) Affiliation: Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India.
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Abstract

The processing of health care claims includes a combination of structured and unstructured data collected from various sources of information that are directly or indirectly related to the medical insurance claim. Such processing takes help of Natural Language processing along with some concept specific language. NLP Techniques along with Text Mining helps in finding dependencies between different entities which further generate scores for individual claims. These scores are considered in making decisions involving determination of fraud or genuine claims by the client.

Keywords: Categorization, Information retrieval, Medical claims, Natural Language Processing (NLP), Pattern matching, Text mining.

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