Objective assessment of Parkinson's disease using machine learning
<p>Neurodegenerative disorders, such as Parkinson’s disease (PD), are infamously heterogeneous in regards to onset age, symptom prevalence, and severity progression rate. The current ‘gold standard’ techniques currently in use to assess the highly debilitating motor and non-motor symptoms a...
Autor Principal: | Prince, J |
---|---|
Outros autores: | De Vos, M |
Formato: | Thesis |
Publicado: |
2018
|
Subjects: |
Títulos similares
-
Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach
por: Yifeng Yang, et al.
Publicado: (2025-02-01) -
A Short Survey on Deep Learning for Multimodal Integration: Applications, Future Perspectives and Challenges
por: Giovanna Maria Dimitri
Publicado: (2022-11-01) -
A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions
por: Xiangdong Pei, et al.
Publicado: (2023-03-01) -
Measuring Similarity of Dual-Modal Academic Data Based on Multi-Fusion Representation Learning
por: Li Zhang, et al.
Publicado: (2024-01-01) -
Editorial: Multi-modal learning and its application for biomedical data
por: Jin Liu, et al.
Publicado: (2024-01-01)