A Machine Learning Approach for Real Time Prediction of Last Minute Medical Appointments No-shows

Ricardo Almeida, Nuno André Silva, André Vasconcelos

2021

Abstract

A no-show is when a patient misses a previously scheduled appointment. No-shows cause an impact in the healthcare sector, decreasing efficiency. When a patient misses an appointment the clinic resource are wasted, postpones his or her chance to get treated for a medical condition and denies medical service to another patient. In this research, machine learning techniques are used to find patterns in healthcare data and make no-show predictions. A no-show prediction model is proposed to integrate machine learning techniques into a model that supports the testing of predictions on different datasets. The model is integrated into an online medical appointment booking platform to allow the models and predictions made, to be saved and integrated into a real-time system. Machine learning techniques are tested using three datasets with different characteristics. Through these tests, the model proposed can find the best features, which are similar in every dataset. The results obtained are compared to other prediction algorithms and techniques.

Paper Citation

in Harvard Style

Almeida R., Silva N. and Vasconcelos A. (2021). A Machine Learning Approach for Real Time Prediction of Last Minute Medical Appointments No-shows. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF; ISBN 978-989-758-490-9, SciTePress, pages 328-336. DOI: 10.5220/0010221903280336

in Bibtex Style

@conference{healthinf21,
author={Ricardo Almeida and Nuno André Silva and André Vasconcelos},
title={A Machine Learning Approach for Real Time Prediction of Last Minute Medical Appointments No-shows},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF},
year={2021},
pages={328-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010221903280336},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF
TI - A Machine Learning Approach for Real Time Prediction of Last Minute Medical Appointments No-shows
SN - 978-989-758-490-9
AU - Almeida R.
AU - Silva N.
AU - Vasconcelos A.
PY - 2021
SP - 328
EP - 336
DO - 10.5220/0010221903280336
PB - SciTePress