No-Show in Medical Appointments with Machine Learning Techniques: A Systematic Literature Review

نویسندگان

چکیده

No-show appointments in healthcare is a problem faced by medical centers around the world, and understanding factors associated with no-show behavior essential. In recent decades, artificial intelligence has taken place field machine learning algorithms can now work as an efficient tool to understand patients’ achieve better appointment allocation scheduling systems. this work, we provide systematic literature review (SLR) of techniques applied aiming at establishing current state-of-the-art. Based on SLR following PRISMA procedure, 24 articles were found analyzed, which characteristics database, performance metrics each study synthesized. Results regarding have higher impact missed rates analyzed too. The results indicate that most appropriate for building models are decision tree algorithms. Furthermore, significant determinants related patient’s age, whether patient previous appointment, distance between scheduling.

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ژورنال

عنوان ژورنال: Information

سال: 2022

ISSN: ['2078-2489']

DOI: https://doi.org/10.3390/info13110507