Machine learning for the diagnosis of Parkinson's disease: a review of literature
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 …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
Clinical decision support systems for triage in the emergency department using intelligent systems: a review
Abstract Motivation Emergency Departments'(ED) modern triage systems implemented
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques
This study investigates the processing of voice signals for detecting Parkinson's disease.
This disease is one of the neurological disorders that affect people in the world most. The …
This disease is one of the neurological disorders that affect people in the world most. The …
Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization
SH Wang, K Muhammad, J Hong, AK Sangaiah… - Neural Computing and …, 2020 - Springer
Alcoholism changes the structure of brain. Several somatic marker hypothesis network-
related regions are known to be damaged in chronic alcoholism. Neuroimaging approach …
related regions are known to be damaged in chronic alcoholism. Neuroimaging approach …
A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset
T Liu, W Fan, C Wu - Artificial intelligence in medicine, 2019 - Elsevier
Abstract Background and Objective Cerebral stroke has become a significant global public
health issue in recent years. The ideal solution to this concern is to prevent in advance by …
health issue in recent years. The ideal solution to this concern is to prevent in advance by …
Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson's disease
An accurate diagnosis of Parkinson's disease by specialists involves many neurological,
psychological and physical examinations. The specialists investigate a number of symptoms …
psychological and physical examinations. The specialists investigate a number of symptoms …
Diagnosis of Parkinson's disease using modified grey wolf optimization
This paper presents the Modified Grey Wolf Optimization (MGWO) algorithm which helps
with the identification of the symptoms of Parkinson's disease at a premature stage …
with the identification of the symptoms of Parkinson's disease at a premature stage …
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification
H Gunduz - Biomedical Signal Processing and Control, 2021 - Elsevier
Parkinson's disease (Pd) is a progressive disease caused by the loss of brain cells and
brings about speech and pronunciation defects during the early stages. This study revealed …
brings about speech and pronunciation defects during the early stages. This study revealed …
A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
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 …
traditional plasma experiments, necessitating the development of a faster, less expensive …