Cargando…
Identifying key multi-modal predictors of incipient dementia in Parkinson’s disease: a machine learning analysis and Tree SHAP interpretation
BACKGROUND: Persons with Parkinson’s disease (PD) differentially progress to cognitive impairment and dementia. With a 3-year longitudinal sample of initially non-demented PD patients measured on multiple dementia risk factors, we demonstrate that machine learning classifier algorithms can be combin...
Autores principales: | McFall, G. Peggy, Bohn, Linzy, Gee, Myrlene, Drouin, Shannon M., Fah, Harrison, Han, Wei, Li, Liang, Camicioli, Richard, Dixon, Roger A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347530/ https://www.ncbi.nlm.nih.gov/pubmed/37455938 http://dx.doi.org/10.3389/fnagi.2023.1124232 |
Ejemplares similares
-
Dementia Risk Prediction in a Longitudinal Geriatric Parkinson’s Disease Cohort: Evaluation and Application of the Montreal Parkinson Risk of Dementia Scale
por: Bohn, Linzy, et al.
Publicado: (2023) -
EARLY FRAILTY PHENOTYPES AND PREDICTIONS OF COGNITIVE AGING: EVIDENCE FROM THE VICTORIA LONGITUDINAL STUDY
por: Bohn, Linzy, et al.
Publicado: (2019) -
Portals to frailty? Data-driven analyses detect early frailty profiles
por: Bohn, Linzy, et al.
Publicado: (2021) -
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles
por: Mitchell, Rory, et al.
Publicado: (2022) -
PPSW–SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging
por: Goktas, Polat, et al.
Publicado: (2023)