The neuropsychology assessment for identifying dementia in parkinson’s disease patients using a deep neural network

• Main Authors: Nur Hafieza, Ismail, Nur Shazwani, Kamarudin, Ahmad Fakhri, Ab. Nasir
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2021
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/33135/1/The%20neuropsychology%20assessment%20for%20identifying%20dementia%20in%20parkinson%E2%80%99s_FULL.pdf; http://umpir.ump.edu.my/id/eprint/33135/2/The%20neuropsychology%20assessment%20for%20identifying%20dementia%20in%20parkinson%E2%80%99s.pdf; http://umpir.ump.edu.my/id/eprint/33135/; https://doi.org/ 10.1109/ICSECS52883.2021.00050

Parkinson’s Disease (PD) patients have a high risk of developing dementia at least a year after the diagnosis. PD-Dementia affects both the physical and mental function that can gradually worsen the condition of the patients over time. This work proposed a framework for detecting dementia among PD p...