Integrating Non-Motor Symptoms and Gender Variability in Machine Learning for Early Parkinson’s Disease Detection
Objective: Our study aimed to develop a machine learning (ML) model for the early detection of Parkinson's disease (PD), utilizing non-motor symptoms (NMS) and DNA…Nutritional Status Implication at 6 Months in Parkinson’s Disease: Follow-Up Results
Objective: To analyze the relationship between nutritional status and weight in 3 groups of patients with Parkinson's disease (PD) who are receiving different pharmacological therapies…Parkinson’s Disease Clinical Subtypes Differ in Health-Related QOL
Objective: To determine whether clinical subtypes of Parkinson disease (PD) differ in health-related quality of life (QOL). Background: Health-related QOL varies for individuals with PD.…Behavior medicine perspectives in pre-DBS patients with ET and PD
Objective: The goal of this study is to identify behavior medicine variables in patients with ET and PD that can guide DBS surgical planning and…Mood and Apathy Outcomes after STN or GPi DBS for Parkinson’s Disease: An Interim Report from the ADROIT NAPA Sub-study
Objective: To summarize the effect of subthalamic nucleus (STN) or globus pallidus internus (GPi) DBS on mood and apathy outcomes in patients with Parkinson’s Disease…Gender Disparities in Quality of Life Domains Among Hispanic Individuals with Parkinson’s Disease: A Comparative Analysis
Objective: This study aims to determine gender differences in the quality of life of Parkinson's disease (PD) among Hispanic individuals. Background: PD profoundly affects various…Determinants of nocturnal arterial hypertension in Parkinson’s disease patients in Cameroon
Objective: This study aimed to determine the frequency and factors associated to nocturnal hypertension. Background: Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor…Uncovering Non-Motor Subtypes in Parkinson’s Disease through Machine Learning
Objective: This study aims to uncover subtypes of Parkinson’s disease (PD) through unsupervised machine learning (ML), based on the predicted evolution of non-motor symptoms (NMS).…State of happiness as outcome measure in sleep disorders in Parkinson’s disease
Objective: The objective of this study was to evaluate state of hapiness as outcome measure in sleep disorders in PD. Background: Outcome measures are very…Dysphagia is Frequent in early Parkinson´s Disease. Results from a 5-year Follow-up Study.
Objective: The aim of the present study was to analyze the frequency of dysphagia in patients with early Parkinson´s disease (PD) and to compare with…
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