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AI-Based Neurodegenerative Disease Risk Screening System: A Multi-Disease Symptom-Driven Machine Learning Framework with Time-Progression Simulation
A. Ruba1
S. Aahila Parveen2
M. Abarna3
M. Kaviya4
R. Sandhiya5
1 Associate Professor, Department of Artificial Intelligence and Data Science, Mohamed Sathak Engineering College, Kilakarai, Tamil Nadu, India. 2 3 4 5 Student, Department of Artificial Intelligence and Data Science, Mohamed Sathak Engineering College, Kilakarai, Tamil Nadu, India.
Published Online: May-June 2026
Pages: 01-04
Cite this article
No DOIReferences
1. P. Battista et al., 'Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Decline in a Telehealth
Application for Dementia,' Behavioral Neurology, Vol. 2017.
2. L. Breiman, 'Random Forests,' Machine Learning, Vol. 45, No. 1, pp. 5–32, 2001.
3. Y. Ding et al., 'A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain,' Radiology,
Vol. 290, No. 2, pp. 456–464, 2019.
4. A. Esteva et al., 'A Guide to Deep Learning in Healthcare,' Nature Medicine, Vol. 25, pp. 24–29, 2019.
5. R. Govindarajan, 'Development of an Explainable ML Model for Alzheimer's Disease Prediction,' IEEE Access, 2025.
6. G. Litjens et al., 'A Survey on Deep Learning in Medical Image Analysis,' Medical Image Analysis, Vol. 42, pp. 60–88, 2017.
7. N. Mahmud Nayan, 'Interpretable and Balanced ML Framework for Parkinson's Disease Prediction,' Applied Soft Computing, 2025.
8. K. Mahapatra, 'Detection of Alzheimer's Disease Using Explainable ML and Mathematical Models,' Biomedical Signal Processing and
Control, 2025.
9. C.O. Sakar et al., 'A Comparative Analysis of Speech Signal Processing Algorithms for Parkinson's disease Classification,' Applied Soft
Computing, Vol. 74, pp. 255–263, 2019.
10. C. Schneuwly Diaz, 'Multimodal Alzheimer's Outcome Prediction Framework,' Journal of Biomedical Informatics, 2025.
11. D. Shen et al., 'Deep Learning in Medical Image Analysis,' Annual Review of Biomedical Engineering, Vol. 19, pp. 221–248, 2017.
12. B. Soudhganga, 'An Early Prediction of Neurodegenerative Disorder Based on Diverse Data Using Intelligent Learning,' IEEE Transactions
on Neural Systems and Rehabilitation Engineering, 2025.
13. S.J. Tabrizi et al., 'Potential Endpoints for Clinical Trials in Premanifest and Early Huntington's Disease in the TRACK-HD Study,' Lancet
Neurology, Vol. 11, No. 1, pp. 42–53, 2013.
14. H. Alfalahi, 'Explainable Digital Phenotyping in Neurodegenerative Disorders,' npj Digital Medicine, Vol. 6, 2023.
15. WHO, World Report on Neurological Disorders, World Health Organization, Geneva, 2023.
Cite This Article
A. Ruba, S. Aahila Parveen, M. Abarna, M. Kaviya and R. Sandhiya, "AI-Based Neurodegenerative Disease Risk
Screening System: A Multi-Disease Symptom-Driven Machine Learning Framework with Time-Progression Simulation,"
Application for Dementia,' Behavioral Neurology, Vol. 2017.
2. L. Breiman, 'Random Forests,' Machine Learning, Vol. 45, No. 1, pp. 5–32, 2001.
3. Y. Ding et al., 'A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain,' Radiology,
Vol. 290, No. 2, pp. 456–464, 2019.
4. A. Esteva et al., 'A Guide to Deep Learning in Healthcare,' Nature Medicine, Vol. 25, pp. 24–29, 2019.
5. R. Govindarajan, 'Development of an Explainable ML Model for Alzheimer's Disease Prediction,' IEEE Access, 2025.
6. G. Litjens et al., 'A Survey on Deep Learning in Medical Image Analysis,' Medical Image Analysis, Vol. 42, pp. 60–88, 2017.
7. N. Mahmud Nayan, 'Interpretable and Balanced ML Framework for Parkinson's Disease Prediction,' Applied Soft Computing, 2025.
8. K. Mahapatra, 'Detection of Alzheimer's Disease Using Explainable ML and Mathematical Models,' Biomedical Signal Processing and
Control, 2025.
9. C.O. Sakar et al., 'A Comparative Analysis of Speech Signal Processing Algorithms for Parkinson's disease Classification,' Applied Soft
Computing, Vol. 74, pp. 255–263, 2019.
10. C. Schneuwly Diaz, 'Multimodal Alzheimer's Outcome Prediction Framework,' Journal of Biomedical Informatics, 2025.
11. D. Shen et al., 'Deep Learning in Medical Image Analysis,' Annual Review of Biomedical Engineering, Vol. 19, pp. 221–248, 2017.
12. B. Soudhganga, 'An Early Prediction of Neurodegenerative Disorder Based on Diverse Data Using Intelligent Learning,' IEEE Transactions
on Neural Systems and Rehabilitation Engineering, 2025.
13. S.J. Tabrizi et al., 'Potential Endpoints for Clinical Trials in Premanifest and Early Huntington's Disease in the TRACK-HD Study,' Lancet
Neurology, Vol. 11, No. 1, pp. 42–53, 2013.
14. H. Alfalahi, 'Explainable Digital Phenotyping in Neurodegenerative Disorders,' npj Digital Medicine, Vol. 6, 2023.
15. WHO, World Report on Neurological Disorders, World Health Organization, Geneva, 2023.
Cite This Article
A. Ruba, S. Aahila Parveen, M. Abarna, M. Kaviya and R. Sandhiya, "AI-Based Neurodegenerative Disease Risk
Screening System: A Multi-Disease Symptom-Driven Machine Learning Framework with Time-Progression Simulation,"
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