[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
Multi-modal deep learning diagnosis of parkinson's disease—A systematic review
V Skaramagkas, A Pentari… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
Enhancing early Parkinson's disease detection through multimodal deep learning and explainable AI: insights from the PPMI database
Parkinson's is the second most common neurodegenerative disease, affecting nearly 8.5 M
people and steadily increasing. In this research, Multimodal Deep Learning is investigated …
people and steadily increasing. In this research, Multimodal Deep Learning is investigated …
[HTML][HTML] WiFOG: Integrating deep learning and hybrid feature selection for accurate freezing of gait detection
This study investigates the feasibility of utilizing non-invasive WiFi sensing using the 4.8
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
Explainable Artificial Intelligence (EXAI) models for early prediction of Parkinson's Disease based on spiral and Wave drawings
S Saravanan, K Ramkumar, K Narasimhan… - IEEE …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a rapidly growing neurodegenerative disorder that primarily
affects the elderly population. Until now, there has been no antidote for PD. However …
affects the elderly population. Until now, there has been no antidote for PD. However …
[HTML][HTML] Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from parkinson's disease
Adoption of artificial intelligence (AI) by the medical community has long been anticipated,
endorsed by a stream of machine learning literature showcasing AI systems that yield …
endorsed by a stream of machine learning literature showcasing AI systems that yield …
A computerized analysis with machine learning techniques for the diagnosis of Parkinson's disease: past studies and future perspectives
According to the World Health Organization (WHO), Parkinson's disease (PD) is a
neurodegenerative disease of the brain that causes motor symptoms including slower …
neurodegenerative disease of the brain that causes motor symptoms including slower …
A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with sig-nificant clinical
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
implications. Early and accurate diagnosis of PD is crucial for timely intervention 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 …
current age that causes uncontrollable movements like shaking, stiffness, and difficulty. The …