New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
Diagnosing of disease using machine learning
The role of machine learning in the healthcare industry is inevitable due to its power to use
in disease detection and management. Disease diagnosis using machine-learning …
in disease detection and management. Disease diagnosis using machine-learning …
Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets
Identified mainly by memory loss and social inability, dementia may result from several
different diseases. In the world with ever growing elderly population, the problem of …
different diseases. In the world with ever growing elderly population, the problem of …
Deep learning‐based scheme to diagnose Parkinson's disease
Parkinson's disease (PD) is a neurological disorder of the central nervous system that
causes difficulty in movement, often including tremors and rigidity. Early detection of PD can …
causes difficulty in movement, often including tremors and rigidity. Early detection of PD can …
[HTML][HTML] An ensemble nearest neighbor boosting technique for prediction of Parkinson's disease
KA Shastry - Healthcare Analytics, 2023 - Elsevier
Parkinson's disease (PD) is a complex condition that affects an individual's motor features
and intensifies over time. Symptoms vary between individuals and can go undetected at an …
and intensifies over time. Symptoms vary between individuals and can go undetected at an …
Detection of Parkinson's disease with keystroke data
Parkinson's disease (PD) is one of the most widespread neurological disorders associated
with nerve damage without definitive treatment. Impairments, such as trembling and slowing …
with nerve damage without definitive treatment. Impairments, such as trembling and slowing …
Multi-Model Fusion of CNNs for Identification of Parkinson's Disease Using Handwritten Samples
When approximately seventy percent of dopamine-producing nerve cells cease to function
normally, the symptoms of Parkinson's disease (PD) manifest, marking an irreversible …
normally, the symptoms of Parkinson's disease (PD) manifest, marking an irreversible …
[HTML][HTML] Parkinson disease recognition using a gamified website: machine learning development and usability study
S Parab, J Boster, P Washington - JMIR Formative Research, 2023 - formative.jmir.org
Background: Parkinson disease (PD) affects millions globally, causing motor function
impairments. Early detection is vital, and diverse data sources aid diagnosis. We focus on …
impairments. Early detection is vital, and diverse data sources aid diagnosis. We focus on …
[HTML][HTML] A study on the essential and Parkinson's arm tremor classification
V Skaramagkas, G Andrikopoulos, Z Kefalopoulou… - Signals, 2021 - mdpi.com
In this article, the challenge of discriminating between essential and Parkinson's tremor is
addressed. Although a variety of methods have been proposed for diagnosing the severity of …
addressed. Although a variety of methods have been proposed for diagnosing the severity of …