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April 5, 20260 citationsOpen Access

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AI-Based Patient No-Show Prediction using Machine Learning

MHMd. Khalid HasanNational University Bangladesh

Key Points

The research aims to predict patient no-shows using machine learning techniques to enhance healthcare efficiency.
Applied machine learning techniques to predict no-shows
Utilized a logistic regression model for analysis
Employed a real-world dataset to validate predictions
Achieved approximately 80% accuracy in predicting patient no-shows
Demonstrated the potential of AI to improve hospital operations
Showed a significant reduction in missed appointments

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.

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AI-Based Patient No-Show Prediction using Machine Learning | Synapse

Cite This Study

Md. Khalid Hasan (Tue,) studied this question.

synapsesocial.com/papers/69d1fd62a79560c99a0a35db https://doi.org/https://doi.org/10.5281/zenodo.19400747