Journal of Data Mining and Knowledge Engineering ISSN: 3139-5341 (Online)

Abstract

Data mining has become a cornerstone in healthcare, enabling the extraction of actionable insights from vast amounts of patient data. Predictive modeling techniques are particularly valuable in optimizing patient care by forecasting outcomes, improving decision-making, and enhancing healthcare delivery. This paper explores the integration of data mining methods in healthcare, focusing on predictive modeling applications such as disease prediction, patient risk assessment, and treatment optimization. Through an examination of various algorithms and their healthcare applications, this paper aims to demonstrate how predictive models can be leveraged to optimize patient care, reduce costs, and improve overall healthcare outcomes. Additionally, it investigates the challenges and ethical considerations involved in implementing these models in clinical settings.

Keywords: Data mining, predictive modeling, healthcare, patient care optimization, disease prediction, risk assessment, treatment optimization, machine learning, healthcare analytics.