The Role of Machine Learning in Reducing Healthcare Costs: The Impact of Medication Adherence and Preventive Care on Hospitalization Expenses

• URL: http://arxiv.org/abs/2504.07422v1
• Date: Thu, 10 Apr 2025 03:28:42 GMT
• Title: The Role of Machine Learning in Reducing Healthcare Costs: The Impact of Medication Adherence and Preventive Care on Hospitalization Expenses
• Authors: Yixin Zhang, Yisong Chen,
• Abstract summary: This study reveals the important role of prevention care and medication adherence in reducing hospitalizations.<n>Four machine learning models Logistic Regression, Gradient Boosting, Random Forest, and Artificial Neural Networks are applied to predict five-year hospitalization risk.<n>Patients with high medication adherence and consistent preventive care can reduce 38.3% and 37.7% in hospitalization risk.
• Score: 18.97832426593808
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This study reveals the important role of prevention care and medication adherence in reducing hospitalizations. By using a structured dataset of 1,171 patients, four machine learning models Logistic Regression, Gradient Boosting, Random Forest, and Artificial Neural Networks are applied to predict five-year hospitalization risk, with the Gradient Boosting model achieving the highest accuracy of 81.2%. The result demonstrated that patients with high medication adherence and consistent preventive care can reduce 38.3% and 37.7% in hospitalization risk. The finding also suggests that targeted preventive care can have positive Return on Investment (ROI), and therefore ML models can effectively direct personalized interventions and contribute to long-term medical savings.

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