Predicting Uterine Fibroids with Multiple Classifiers: An Analysis

Abstract

Many companies actively use data mining. Healthcare data mining is becoming more common and important. All parties in healthcare can benefit from data mining. Health insurance companies may use data mining to help them spot instances of fraud and abuse, businesses can use it to inform decisions about their relationships with customers, doctors can use it to discover new, more cost-effective therapies, and individuals can enjoy better, more affordable health care overall. Traditional methods cannot process and analyze healthcare transactions' vast amounts of data in today's culture. Data mining helps turn large amounts of data into decision-making knowledge. This post examines healthcare data mining applications. Data mining is also discussed in healthcare for treatment effectiveness evaluation, healthcare management, customer management, and fraud or abuse detection. It also shows how a healthcare data mining tool may identify uterine fibroids risk factors.