2018 |
Volume 4 |
Issue Issue 2
Review on Health Care Claim Processing Using Text Mining and Natural Language Processing
1.
Tushar Gonawala
– Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India.
2.
Hima Khimani
– Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India.
3.
Ruchi Patel And Vatsal Shah
– Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India.
Received
15-Jan-2019
|
Accepted
-
|
Published
15-Jan-2019
|
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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