Machine learning for the diagnosis of Parkinson's disease: a review of literature

J Mei, C Desrosiers, J Frasnelli - Frontiers in aging neuroscience, 2021 - frontiersin.org
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 …

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 …

Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations

A Rana, A Dumka, R Singh, MK Panda, N Priyadarshi… - Diagnostics, 2022 - mdpi.com
Parkinson's disease (PD) is a neurodegenerative disease that affects the neural, behavioral,
and physiological systems of the brain. This disease is also known as tremor. The common …

Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques

AM Tăuţan, B Ionescu, E Santarnecchi - Artificial intelligence in medicine, 2021 - Elsevier
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 …

Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review

M Belić, V Bobić, M Badža, N Šolaja… - Clinical neurology and …, 2019 - Elsevier
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis

S Dixit, K Bohre, Y Singh, Y Himeur, W Mansoor… - Electronics, 2023 - mdpi.com
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

BM Eskofier, SI Lee, JF Daneault… - 2016 38th annual …, 2016 - ieeexplore.ieee.org
The development of wearable sensors has opened the door for long-term assessment of
movement disorders. However, there is still a need for developing methods suitable to …

Predicting parkinson's disease progression: Evaluation of ensemble methods in machine learning

M Nilashi, RA Abumalloh… - Journal of healthcare …, 2022 - Wiley Online Library
Parkinson's disease (PD) is a complex neurodegenerative disease. Accurate diagnosis of
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …

Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review

S Paul, M Maindarkar, S Saxena, L Saba, M Turk… - Diagnostics, 2022 - mdpi.com
Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …

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 …