Time Series Prediction Models in Healthcare: Systematic Literature Review

Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez

2024

Abstract

Technology has solved many of humanity’s complex problems. Furthermore, healthcare providers and researchers are working together to achieve precision medicine, which is the goal of tailoring medical treatment to the individual characteristics of each patient. As a result, patients will receive better care. In this context, healthcare benefits from Time Series Prediction (TSP) models to improve service levels. TSP models have been successfully used to predict a variety of outcomes, such as patient readmission rates, disease progression, and treatment effectiveness. This study presents a systematic literature review (SLR) focusing on TSP models in healthcare. Based on a systematic search of IEEE, Science Direct, Springer, Hyper Articles en Ligne (HAL), and ACM, 50 articles published between 2018 and 2023 were identified. A review of predictive use cases in healthcare and the TSP models used for them has been conducted in this paper. We classified these models into four categories such as statistical models, Deep Learning (DL) models, Machine Learning (ML) models and Hybrid models.

Paper Citation

in Harvard Style

Zammel Z., Khabou N., Souifi L. and Bouassida Rodriguez I. (2024). Time Series Prediction Models in Healthcare: Systematic Literature Review. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 1286-1293. DOI: 10.5220/0012465000003636

in Bibtex Style

@conference{icaart24,
author={Zina Zammel and Nesrine Khabou and Lotfi Souifi and Ismael Bouassida Rodriguez},
title={Time Series Prediction Models in Healthcare: Systematic Literature Review},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1286-1293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012465000003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Time Series Prediction Models in Healthcare: Systematic Literature Review
SN - 978-989-758-680-4
AU - Zammel Z.
AU - Khabou N.
AU - Souifi L.
AU - Bouassida Rodriguez I.
PY - 2024
SP - 1286
EP - 1293
DO - 10.5220/0012465000003636
PB - SciTePress