PreprintAll rights reservedmedRxiv
EEG Biomarkers for Rett Syndrome: A Comparative Analysis of Machine Learning and Deep Learning with Explainable AI
- 1University College Dublin
Related
- Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning
- Explainable machine learning and multi-layer transcriptomic analysis identify and validate prognostic biomarkers for breast cancer survival.
- Comparative analysis of machine learning and regularized regression models for predicting cardiovascular outcomes in patients with type 2 diabetes after acute coronary syndrome
- Explainable machine learning and deep learning models for predicting in-hospital mortality in burn patients
- An explainable machine-learning framework for seasonal early warning of West Nile virus using predictive climate data
BibTeX
@misc{gupta2026biomarkers,
title = {{EEG Biomarkers for Rett Syndrome: A Comparative Analysis of Machine Learning and Deep Learning with Explainable AI}},
author = {M. Gupta and C. Jin and A. Lopez Valdes and C. Bosetti and G. Marinella and E. Bartolini and R. Battini and R. Dong and D. Tropea},
howpublished = {medRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.21.26366077},
url = {https://www.medrxiv.org/content/10.64898/2026.10.21.26366077v1},
}
RIS
TY - UNPB
TI - EEG Biomarkers for Rett Syndrome: A Comparative Analysis of Machine Learning and Deep Learning with Explainable AI
AU - M. Gupta
AU - C. Jin
AU - A. Lopez Valdes
AU - C. Bosetti
AU - G. Marinella
AU - E. Bartolini
AU - R. Battini
AU - R. Dong
AU - D. Tropea
PY - 2026
DA - 2026/10/21
PB - medRxiv
DO - 10.64898/2026.10.21.26366077
UR - https://www.medrxiv.org/content/10.64898/2026.10.21.26366077v1
ER -