Machine Learning Approaches for Neurodegenerative Diseases Diagnosis
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 69917
Special Issue Editors
Interests: biomedical signal processing; EEG signal processing; data mining; decision support and medical expert systems; data modelling; computational intelligence; image processing; biomedical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical signal and image processing; EEG; wearable devices; computational intelligence; data modelling and decision support systems; biomedical engineering; medical physics
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical image and signal processing; EEG signal processing; brain computer interface systems; wearable devices; bioinformatics; machine learning; biomedical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: EEG signal processing; brain computer interface; machine learning; EEG wearable devices
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neurodegenerative diseases, such as Parkinson’s disease, Alzheimer’s disease and other types of dementia, Huntington’s disease, motor neuron disease and Prion disease, are progressive brain disorders with great prevalence in the general population. It is estimated that around 10 million people live with Parkinson’s disease worldwide (Marras C., et al. 2018), and a recent report of 2018 (Prince M., et al. 2015) recorded that 33 million people suffer from Alzheimer’s disease. These disorders afflict both the individual and the caregivers, and have a great impact on the global health economy (Xu J., et al. 2017).
Several diagnostic procedures are performed for differential diagnoses, including brain imaging, EEG analysis, molecular analysis, and cognitive, psychological and physical examination (Tzimourta K.D., et al. 2019). The research focuses on novel machine learning and artificial intelligence approaches, to elucidate the pathogenesis of neurodegenerative disorders and provide early diagnosis, aiming to develop effective treatments, improve the quality of the patient’s life and increase life expectancy (Myszczynska M.A., et al. 2020).
The current Special Issue addresses the urgent need for novel strategies and advanced machine learning methods, to provide the foundation for beyond state-of-the-art diagnostic procedures for neurodegenerative diseases.
Dr. Markos G. Tsipouras
Dr. Alexandros T. Tzallas
Prof. Dr. Nikolaos Giannakeas
Dr. Katerina D. Tzimourta
Guest Editors
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Keywords
- neurodegenerative diseases
- Alzheimer’s disease
- Parkinson’s disease
- dementia
- EEG
- neuroimaging
- machine learning
- deep learning
- wearable devices
- neurodegenerative diseases diagnosis
- neurodegenerative diseases staging
- neurodegenerative disease progression
- biomarkers
- quantitative EEG
- mini-mental state examination
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