Cargando…
Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions
Parkinson's disease (PD) is a progressive and complex neurodegenerative disorder associated with age that affects motor and cognitive functions. As there is currently no cure, early diagnosis and accurate prognosis are essential to increase the effectiveness of treatment and control its symptom...
Autores principales: | Garcia Santa Cruz, Beatriz, Husch, Andreas, Hertel, Frank |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394631/ https://www.ncbi.nlm.nih.gov/pubmed/37539346 http://dx.doi.org/10.3389/fnagi.2023.1216163 |
Ejemplares similares
-
Dynamic Progress in Technological Advances to Study Lipids in Aging: Challenges and Future Directions
por: Gao, Fangyuan, et al.
Publicado: (2022) -
A Roadmap for Future Parkinson's Pharmacogenomics in Asia
por: Akbar, Muhammad, et al.
Publicado: (2022) -
Precision medicine for Parkinson’s disease: The subtyping challenge
por: Frasier, Mark, et al.
Publicado: (2022) -
Towards AI-driven longevity research: An overview
por: Marino, Nicola, et al.
Publicado: (2023) -
Recognition of Freezing of Gait in Parkinson’s Disease Based on Machine Vision
por: Li, Wendan, et al.
Publicado: (2022)