Healthcare insurance fraud is a complex and costly problem that has become a concern
globally. Traditional methods of detecting fraudulent claims and requests are time …

This study presents a novel approach to medical text classification using a deep active
incremental learning model, aiming to improve the automation of the preauthorization …

Due to the exponential increase in population, the healthcare sector is also booming. The
data generated from the healthcare sector is too huge nowadays, and processing all of it …

This chapter examines the advancement of digitalization in healthcare, focusing on the
critical role of natural language processing (NLP) in extracting valuable insights from clinical …

A system and method to authorize requests for procedures or medical claim requests is
described. In one aspect, datasets from multiple data sources, including historical …