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 …
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …
Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches
M Nilashi, B Minaei-Bidgoli, A Alghamdi… - Expert Systems with …, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) provide learners with high-quality and
flexible online courses with no limitations regarding time and location. Detecting users' …
flexible online courses with no limitations regarding time and location. Detecting users' …
Coronary heart disease diagnosis through self-organizing map and fuzzy support vector machine with incremental updates
The trade-off between computation time and predictive accuracy is important in the design
and implementation of clinical decision support systems. Machine learning techniques with …
and implementation of clinical decision support systems. Machine learning techniques with …
Disease diagnosis using machine learning techniques: A review and classification
In this research, we reviewed and classified academic conference and journal papers; which
used data mining techniques in disease classification and diagnosis based on public …
used data mining techniques in disease classification and diagnosis based on public …
Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels
In this study, a novel method to automatically detect Parkinson's disease (PD) using vowels
is proposed. A combination of minimum average maximum (MAMa) tree and singular value …
is proposed. A combination of minimum average maximum (MAMa) tree and singular value …
Telemonitoring Parkinson's disease using machine learning by combining tremor and voice analysis
MSR Sajal, MT Ehsan, R Vaidyanathan, S Wang… - Brain informatics, 2020 - Springer
Background With the growing number of the aged population, the number of Parkinson's
disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources …
disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources …
Early diagnosis of Parkinson's disease: A combined method using deep learning and neuro-fuzzy techniques
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 …
Motor-UPDRS clinical scales is an important part of controlling PD. Computational …
Remote tracking of Parkinson's disease progression using ensembles of deep belief network and self-organizing map
Parkinson's Disease (PD) is one of the most prevalent neurological disorders characterized
by impairment of motor function. Early diagnosis of PD is important for initial treatment. This …
by impairment of motor function. Early diagnosis of PD is important for initial treatment. This …
A novel ensemble of random forest for assisting diagnosis of Parkinson's disease on small handwritten dynamics dataset
S Xu, Z Pan - International Journal of Medical Informatics, 2020 - Elsevier
Background Parkinson's disease (PD) is a neurodegenerative disease of the elderly, which
leads to patients' motor and non-motor disabilities and affects patients' quality of daily life …
leads to patients' motor and non-motor disabilities and affects patients' quality of daily life …
Parkinson's Disease Diagnosis Using Deep Learning: A Bibliometric Analysis and Literature Review
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …