New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
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 …

Automated methods for diagnosis of Parkinson's disease and predicting severity level

Z Ayaz, S Naz, NH Khan, I Razzak, M Imran - Neural Computing and …, 2023 - Springer
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …

Diagnosing of disease using machine learning

P Singh, N Singh, KK Singh, A Singh - Machine learning and the internet of …, 2021 - Elsevier
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 …

Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets

Y Miah, CNE Prima, SJ Seema, M Mahmud… - Advances on Smart and …, 2021 - Springer
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 …

Deep learning‐based scheme to diagnose Parkinson's disease

T Vyas, R Yadav, C Solanki, R Darji, S Desai… - Expert …, 2022 - Wiley Online Library
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 …

[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 …

Detection of Parkinson's disease with keystroke data

B Demir, S Ulukaya, O Erdem - Computer Methods in …, 2023 - Taylor & Francis
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 …

Multi-Model Fusion of CNNs for Identification of Parkinson's Disease Using Handwritten Samples

S Naz, I Kamran, S Gul, F Hadi, F Khalifa - IEEE Access, 2023 - ieeexplore.ieee.org
When approximately seventy percent of dopamine-producing nerve cells cease to function
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 …

[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 …