Predictive Modeling of Healthcare Network Costs Using AI: A Data-Driven Approach

Dr. Jennifer Adams

Abstract


This research paper proposes a predictive modeling framework that utilizes artificial intelligence (AI) techniques to forecast healthcare costs. By leveraging large-scale healthcare datasets, including patient demographics, medical histories, and treatment outcomes, we employ machine learning algorithms to predict future healthcare expenses. The study aims to provide valuable insights for healthcare providers and policymakers to optimize resource allocation, improve cost management, and enhance patient care.

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