Machine Learning and Deep Learning Models for Early Prediction of Neurodegenerative Diseases: Alzheimer's Disease, Dementia, and Parkinson's Disease

Authors

  • Saranya Rathinam, Krishnan Nallaperumal, Kalidass Subramaniam

Keywords:

Machine Learning, Deep Learning, Neurodegenerative Diseases, Early Detection, Alzheimer's Disease, Parkinson's Disease, Dementia

Abstract

Neurodegenerative diseases, including Alzheimer's disease, dementia, and Parkinson's disease, pose significant challenges for diagnosis and treatment. The early identification of these diseases is critical for improving patient outcomes and providing timely interventions. Recent advancements in machine learning (ML) and deep learning (DL) have shown promising results in the early prediction of these diseases.

References

Zhang, Z., Liu, X., & Liu, F. (2020). Early prediction of Alzheimer's disease using convolutional neural networks from structural MRI. NeuroImage: Clinical, 27, 102310.

Nguyen, M. K., Zhang, L., & Liu, W. (2021). Predicting Parkinson's disease progression using deep learning models and neuroimaging data. Journal of Neuroscience Methods, 348, 108952.

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Published

2024-08-17

How to Cite

Saranya Rathinam, Krishnan Nallaperumal, Kalidass Subramaniam. (2024). Machine Learning and Deep Learning Models for Early Prediction of Neurodegenerative Diseases: Alzheimer’s Disease, Dementia, and Parkinson’s Disease. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 1980–1990. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2382

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Articles