[HTML][HTML] Machine learning for the diagnosis of Parkinson's disease: a review of literature
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
[HTML][HTML] Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms
AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
Remote smartphone monitoring of Parkinson's disease and individual response to therapy
Remote health assessments that gather real-world data (RWD) outside clinic settings
require a clear understanding of appropriate methods for data collection, quality …
require a clear understanding of appropriate methods for data collection, quality …
[HTML][HTML] How wearable sensors can support Parkinson's disease diagnosis and treatment: a systematic review
Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …
characterized by both motor and non-motor symptoms and affects millions of people …
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …
recent years. A significant amount of research has been conducted to characterize these …
Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
[HTML][HTML] Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review
KM Giannakopoulou, I Roussaki, K Demestichas - Sensors, 2022 - mdpi.com
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …
the population, especially the elderly. It manifests with motor, cognitive and other types of …
[HTML][HTML] Passive sensing of health outcomes through smartphones: systematic review of current solutions and possible limitations
A Trifan, M Oliveira, JL Oliveira - JMIR mHealth and uHealth, 2019 - mhealth.jmir.org
Background: Technological advancements, together with the decrease in both price and
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …
Robust automated Parkinson disease detection based on voice signals with transfer learning
Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …
than 6 million people around the world. However, conventional techniques for PD detection …
A survey on computer-assisted Parkinson's disease diagnosis
Background and objective In this work, we present a systematic review concerning the
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …