Machine Learning Approaches in the Detection of Amyotrophic Lateral Sclerosis Disease Using Orofacial Gestures

Mara Hajdu Măcelaru, Rareş Chiuzbăian, Petrică Pop

2025

Abstract

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that affects nerve cells in the brain and spinal cord, specifically the motor neurons. As far as we know, there is no single test that can definitively diagnose ALS, and the diagnosis is often based on a integration of clinical findings, medical history, physical examination and various tests to rule out other possible conditions and confirm the diagnosis. The present work proposes four machine learning (ML) algorithms: K-Nearest Neighbors, the Iterative Di-chotomizer 3, Naive Bayes and Logistic Regression to help the diagnosis of early signs of ALS disease. In order to test the proposed ML algorithms, we used the only existing data set, created by the Sunnybrook Research Institute in Toronto. Using the extracted images from the videos of the participants, we developed a system of recognition based on orofacial gestures of the early signs of ALS. The achieved experimental results show that the described ML techniques enable accurate ALS predictions and can be easily integrated into healthcare system for diagnostic use.

Paper Citation

in Harvard Style

Măcelaru M., Chiuzbăian R. and Pop P. (2025). Machine Learning Approaches in the Detection of Amyotrophic Lateral Sclerosis Disease Using Orofacial Gestures. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 1132-1139. DOI: 10.5220/0013282000003890

in Bibtex Style

@conference{icaart25,
author={Mara Măcelaru and Rareş Chiuzbăian and Petrică Pop},
title={Machine Learning Approaches in the Detection of Amyotrophic Lateral Sclerosis Disease Using Orofacial Gestures},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={1132-1139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013282000003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Machine Learning Approaches in the Detection of Amyotrophic Lateral Sclerosis Disease Using Orofacial Gestures
SN - 978-989-758-737-5
AU - Măcelaru M.
AU - Chiuzbăian R.
AU - Pop P.
PY - 2025
SP - 1132
EP - 1139
DO - 10.5220/0013282000003890
PB - SciTePress