Report
Structural neuroimaging as clinical predictor: a review of machine learning applications
| العنوان: | Structural neuroimaging as clinical predictor: a review of machine learning applications |
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| المؤلفون: | Mateos-Pérez, José María, Dadar, Mahsa, Lacalle-Aurioles, María, Iturria-Medina, Yasser, Zeighami, Yashar, Evans, Alan C. |
| سنة النشر: | 2018 |
| المجموعة: | Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Quantitative Methods |
| الوصف: | In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literature, with the aim of helping researchers improve the application of these techniques in future works. Additionally, we survey how these algorithms are applied to a wide range of diseases and disorders (e.g. Alzheimer's disease (AD), Parkinson's disease (PD), autism, multiple sclerosis, traumatic brain injury, etc.) in order to provide a comprehensive view of the state of the art in different fields. Comment: 70 pages, 3 figures. First two authors share first authorship |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1016/j.nicl.2018.08.019 |
| URL الوصول: | http://arxiv.org/abs/1806.03512 |
| رقم الانضمام: | edsarx.1806.03512 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1016/j.nicl.2018.08.019 |
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