Research Article
Integrating Natural Language Processing and Machine Learning for Documentation-Driven Billing Anomaly Detection in Medicare and Medicaid: A Quantitative Framework for Long-Term Care Facilities
Agyapong MK*
School of Business, Tiffin University, United States
Corresponding Author:
Michael Kwakye Agyapong, School of Business, Tiffin University, Tiffin, Ohio, United States. Email: mkwakyeagyapong@gmail.com
Copyright © Michael Kwakye Agyapong
Citation : Agyapong MK. Integrating Natural Language Processing and Machine Learning for Documentation Driven Billing Anomaly Detection in Medicare and Medicaid: A Quantitative Framework for Long-Term Care Facilities. Trends Publ Health Commun Med. 2026;1(1):1-14.
Received Date: 28 April 2026
Published Date: 25 May 2026
Volume 1 Issue 1