Special Issue "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 49472
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: machine learning; signal processing; image processing; bioinformatics
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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