Early diagnosis of Parkinson's disease: A combined method using deep learning and neuro-fuzzy techniques

M Nilashi, RA Abumalloh, SYM Yusuf, HH Thi… - … biology and chemistry, 2023 - Elsevier
Abstract Predicting Unified Parkinson's Disease Rating Scale (UPDRS) in Total-UPDRS and
Motor-UPDRS clinical scales is an important part of controlling PD. Computational …

Deep learning for Parkinson's disease diagnosis: A short survey

M Shaban - Computers, 2023 - mdpi.com
Parkinson's disease (PD) is a serious movement disorder that may eventually progress to
mild cognitive dysfunction (MCI) and dementia. According to the Parkinson's foundation, one …

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 …

A systematic review of artificial intelligence (AI) based approaches for the diagnosis of Parkinson's disease

S Saravanan, K Ramkumar, K Adalarasu… - … Methods in Engineering, 2022 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects the elderly
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …

Early and High‐Accuracy Diagnosis of Parkinson's Disease: Outcomes of a New Model

SA Doumari, K Berahmand… - … Mathematical Methods in …, 2023 - Wiley Online Library
Parkinson's disease (PD) is one of the significant common neurological disorders of the
current age that causes uncontrollable movements like shaking, stiffness, and difficulty. The …

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 …

A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques

M Nilashi, O Ibrahim, H Ahmadi, L Shahmoradi… - Biocybernetics and …, 2018 - Elsevier
Parkinson's Disease (PD) is a progressive degenerative disease of the nervous system that
affects movement control. Unified Parkinson's Disease Rating Scale (UPDRS) is the …

Early detection of Parkinson's disease through patient questionnaire and predictive modelling

R Prashanth, SD Roy - International journal of medical informatics, 2018 - Elsevier
Early detection of Parkinson's disease (PD) is important which can enable early initiation of
therapeutic interventions and management strategies. However, methods for early detection …

An analytical method for measuring the Parkinson's disease progression: A case on a Parkinson's telemonitoring dataset

M Nilashi, O Ibrahim, S Samad, H Ahmadi… - Measurement, 2019 - Elsevier
The use of machine learning techniques for early diseases diagnosis has attracted the
attention of scholars worldwide. Parkinson's Disease (PD) is one of the most common …

Application of deep learning models for automated identification of Parkinson's disease: A review (2011–2021)

HW Loh, W Hong, CP Ooi, S Chakraborty, PD Barua… - Sensors, 2021 - mdpi.com
Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …