Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems

Background: We aimed to predict Montreal Cognitive Assessment (MoCA) scores in Parkinson’s disease patients at year 4 using handcrafted radiomics (RF), deep (DF), and clinical (CF) features at year 0 (baseline) applied to hybrid machine learning systems (HMLSs). Methods: 297 patients were selected f...

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Detalles Bibliográficos
Autores principales: Hosseinzadeh, Mahdi, Gorji, Arman, Fathi Jouzdani, Ali, Rezaeijo, Seyed Masoud, Rahmim, Arman, Salmanpour, Mohammad R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217464/
https://www.ncbi.nlm.nih.gov/pubmed/37238175
http://dx.doi.org/10.3390/diagnostics13101691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217464/
https://www.ncbi.nlm.nih.gov/pubmed/37238175
http://dx.doi.org/10.3390/diagnostics13101691

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