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AI-Based Patient No-Show Prediction using Machine Learning

Year: 2026

Type: article

Abstract: This research explores the use of Machine Learning techniques to predict patient no-shows in healthcare systems. Using a Logistic Regression model on a real-world dataset, the study achieved approximately 80% accuracy. The findings highlight the potential of AI in improving hospital efficiency and reducing missed appointments.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19351132

Author: Hasan, Md. Khalid

Institution: Bangladesh University of Professionals

Language: English

Topic: Healthcare Operations and Scheduling Optimization

Subfield: Emergency Medical Services

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7147283061

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