by Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez
Reference:
Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez, Time Series Prediction Models in Healthcare: Systematic Literature Review, In Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 3, Rome, Italy, February 24-26, 2024 (Ana Paula Rocha, Luc Steels, H. Jaap van den Herik, eds.), SCITEPRESS, 2024.
Bibtex Entry:
@inproceedings{ZammelKSR24,
author = {Zina Zammel and Nesrine Khabou and Lotfi Souifi and Ismael Bouassida Rodriguez},
editor = {Ana Paula Rocha and Luc Steels and H. Jaap van den Herik},
title = {Time Series Prediction Models in Healthcare: Systematic Literature Review},
booktitle = {Proceedings of the 16th International Conference on Agents and Artificial Intelligence, {ICAART} 2024, Volume 3, Rome, Italy, February 24-26, 2024},
pages = {1286--1293},
publisher = {{SCITEPRESS}},
year = {2024},
url = {https://doi.org/10.5220/0012465000003636},
doi = {10.5220/0012465000003636}
}by Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez
Reference:
Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez, Time Series Prediction Models in Healthcare: Systematic Literature Review, In Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 3, Rome, Italy, February 24-26, 2024 (Ana Paula Rocha, Luc Steels, H. Jaap van den Herik, eds.), SCITEPRESS, 2024.
Bibtex Entry:
@inproceedings{ZammelKSR24,
author = {Zina Zammel and Nesrine Khabou and Lotfi Souifi and Ismael Bouassida Rodriguez},
editor = {Ana Paula Rocha and Luc Steels and H. Jaap van den Herik},
title = {Time Series Prediction Models in Healthcare: Systematic Literature Review},
booktitle = {Proceedings of the 16th International Conference on Agents and Artificial Intelligence, {ICAART} 2024, Volume 3, Rome, Italy, February 24-26, 2024},
pages = {1286--1293},
publisher = {{SCITEPRESS}},
year = {2024},
url = {https://doi.org/10.5220/0012465000003636},
doi = {10.5220/0012465000003636}
}