Performance evaluation of ARIMA, VAR, ANN, GRU, and LSTM for multivariate healthcare time-series prediction: a rigorous, reproducible benchmarking study with ablation analysis on MIMIC-III and eICU.
- DOI
- 10.3389/frai.2026.1873285
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1873285,
title = {Performance evaluation of ARIMA, VAR, ANN, GRU, and LSTM for multivariate healthcare time-series prediction: a rigorous, reproducible benchmarking study with ablation analysis on MIMIC-III and eICU.},
author = {Islam MT and Hanif M and Kim S},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1873285},
url = {https://doi.org/10.3389/frai.2026.1873285}
}RIS
TY - JOUR TI - Performance evaluation of ARIMA, VAR, ANN, GRU, and LSTM for multivariate healthcare time-series prediction: a rigorous, reproducible benchmarking study with ablation analysis on MIMIC-III and eICU. AU - Islam MT AU - Hanif M AU - Kim S PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1873285 UR - https://doi.org/10.3389/frai.2026.1873285 ER -
APA
MT, I., M, H., & S, K. (2026). Performance evaluation of ARIMA, VAR, ANN, GRU, and LSTM for multivariate healthcare time-series prediction: a rigorous, reproducible benchmarking study with ablation analysis on MIMIC-III and eICU.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1873285
Source records
- pubmed · retrieved 2026-11-10T12:36:06.939Z