AI-Based Patient No-Show Prediction using Machine Learning

Md. Khalid Hasan

doi:10.5281/zenodo.19400747

March 31, 2026Open Access

AI-Based Patient No-Show Prediction using Machine Learning

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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

Implication

Exploratory analysis demonstrates effective no-show prediction in healthcare, suggesting enhanced efficiency.

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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Cite This Study

Md. Khalid Hasan (2026) studied this question.

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

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AI-Based Patient No-Show Prediction using Machine Learning

Key Points

Implication

Abstract

Discussion

Cite This Study

AI-Based Patient No-Show Prediction using Machine Learning

Key Points

Implication

Abstract

Discussion

Cite This Study

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