Cargando…
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
BACKGROUND: An increase in lifespan in our society is a double-edged sword that entails a growing number of patients with neurocognitive disorders, Alzheimer’s disease being the most prevalent. Advances in medical imaging and computational power enable new methods for the early detection of neurocog...
Autores principales: | Grueso, Sergio, Viejo-Sobera, Raquel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480074/ https://www.ncbi.nlm.nih.gov/pubmed/34583745 http://dx.doi.org/10.1186/s13195-021-00900-w |
Ejemplares similares
-
Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease
por: Fouladvand, Sajjad, et al.
Publicado: (2023) -
Progression to Dementia in Mild Cognitive Impairment With Lewy Bodies or Alzheimer Disease
por: Hamilton, Calum A., et al.
Publicado: (2021) -
Cognitive Blackouts in Mild Cognitive Impairment and Alzheimer's Dementia
por: Adler, Georg, et al.
Publicado: (2018) -
Mild cognitive impairment, dementia, and cognitive dysfunction screening using machine learning
por: Yim, Daehyuk, et al.
Publicado: (2020) -
Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer’s dementia
por: Frölich, Lutz, et al.
Publicado: (2017)