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


Affiliations
1 Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India
     

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

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Authors

Tushar Gonawala
Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India
Hima Khimani
Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India
Ruchi Patel
Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India
Vatsal Shah
Birla Vishvakarma Mahavidyalaya Engineering College, Vidyanagar, Anand, Gujarat, India

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.

References