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Cognitive impairment in Parkinson's disease and other parkinsonian syndromes
A Giannakis, C Sioka, E Kloufetou… - Journal of Neural …, 2024 - Springer
In this narrative review, we address mild cognitive impairment, a frequent complication of
Parkinson's disease (PD) and atypical parkinsonian disorders (APDs). Recent diagnostic …
Parkinson's disease (PD) and atypical parkinsonian disorders (APDs). Recent diagnostic …
Advanced AI techniques for classifying Alzheimer's disease and mild cognitive impairment
S Tascedda, P Sarti, V Rivi, CS Guerrera… - Frontiers in aging …, 2024 - frontiersin.org
Background Alzheimer's disease and mild cognitive impairment are often difficult to
differentiate due to their progressive nature and overlap** symptoms. The lack of reliable …
differentiate due to their progressive nature and overlap** symptoms. The lack of reliable …
Optimal MMSE and MoCA cutoffs for cognitive diagnoses in Parkinson's disease: A data-driven decision tree model
Background Detecting cognitive impairment in Parkinson's disease (PD) is challenging due
to diverse manifestations and outdated diagnostic criteria. Cognitive screening tools, as Mini …
to diverse manifestations and outdated diagnostic criteria. Cognitive screening tools, as Mini …
Imaging biomarkers of cortical neurodegeneration underlying cognitive impairment in Parkinson's disease
J Silva-Rodríguez, MÁ Labrador-Espinosa… - European Journal of …, 2025 - Springer
Purpose Imaging biomarkers bear great promise for improving the diagnosis and prognosis
of cognitive impairment in Parkinson's disease (PD). We compared the ability of three …
of cognitive impairment in Parkinson's disease (PD). We compared the ability of three …
A novel multi-level 3D pose estimation framework for gait detection of Parkinson's disease using monocular video
R He, Z You, Y Zhou, G Chen, Y Diao… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction Parkinson's disease (PD) is characterized by muscle stiffness, bradykinesia,
and balance disorders, significantly impairing the quality of life for affected patients. While …
and balance disorders, significantly impairing the quality of life for affected patients. While …
Comparing machine learning and deep learning models to predict cognition progression in Parkinson's disease
Cognitive decline in Parkinson's disease (PD) varies widely. While models to predict
cognitive progression exist, comparing traditional probabilistic models to deep learning …
cognitive progression exist, comparing traditional probabilistic models to deep learning …
Develo** an Assistive System for Dementia Patients using Raspberry Pi and YOLOv5: A Step Towards Improved Quality of Life
H Karamchandani, VK Sinha… - … on Software, Systems …, 2024 - ieeexplore.ieee.org
Dementia, a complex mental health issue predominantly affecting the elderly, presents
profound challenges including memory loss and difficulty recognizing the family members …
profound challenges including memory loss and difficulty recognizing the family members …
[PDF][PDF] Parkinson's Disease Prediction Using Machine Learning Models
S Kanakala - International Journal, 2024 - academia.edu
Parkinson's disease is a neurodegenerative condition that affects billions of persons
worldwide. This abstract aims to shed light on the causes and consequences of this …
worldwide. This abstract aims to shed light on the causes and consequences of this …
Explainable boosting machine approach to identifying risk factors for Parkinson's disease
Aim: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized
by motor and non-motor symptoms. The diagnosis and management of PD have been …
by motor and non-motor symptoms. The diagnosis and management of PD have been …