Vol. 3 No. 1 (2023): Journal of Machine Learning for Healthcare Decision Support
Articles

Machine Learning Approaches for Predicting Patient Readmission Rates

Dr. Hans Müller
Associate Professor, AI in Medical Education, Alpine College, Zurich, Switzerland
Cover

Published 17-04-2023

Keywords

  • Machine learning,
  • patient readmission,
  • healthcare management,
  • predictive modeling,
  • healthcare outcomes,
  • data analysis,
  • healthcare resources,
  • readmission risk factors
  • ...More
    Less

How to Cite

[1]
Dr. Hans Müller, “Machine Learning Approaches for Predicting Patient Readmission Rates”, Journal of Machine Learning for Healthcare Decision Support, vol. 3, no. 1, pp. 10–17, Apr. 2023, Accessed: Jan. 22, 2025. [Online]. Available: https://medlines.uk/index.php/JMLHDS/article/view/8

Abstract

This study focuses on the development of machine learning models to predict patient readmission rates, with the aim of aiding proactive healthcare management. Predicting readmission rates is crucial for hospitals and healthcare providers to allocate resources effectively and improve patient outcomes. We employ various machine learning approaches on a comprehensive dataset to build accurate prediction models. The results demonstrate the effectiveness of machine learning in predicting patient readmissions, highlighting its potential for enhancing healthcare practices.

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