[HTML][HTML] Bayesian optimization with support vector machine model for parkinson disease classification
Parkinson's disease (PD) has become widespread these days all over the world. PD affects
the nervous system of the human and also affects a lot of human body parts that are …
the nervous system of the human and also affects a lot of human body parts that are …
[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 …
[HTML][HTML] A three-stage fuzzy classifier method for Parkinson's disease diagnosis using dynamic handwriting analysis
K Sarin, M Bardamova, M Svetlakov, N Koryshev… - Decision Analytics …, 2023 - Elsevier
Finding low-cost and insightful methods to reinforce the diagnosis of Parkinson's disease is
a major challenge today, and using dynamic handwritten data may be one of the solutions …
a major challenge today, and using dynamic handwritten data may be one of the solutions …
A pragmatic approach of Parkinson disease detection using hybrid case-based reasoning neuro-fuzzy classification system over Mobile edge computing
E Punarselvam - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
Parkinson's disease is neurological degenerative disorder cause by deficient dopamine
production which in turn harms the motor functionality and speech. With latest IoT …
production which in turn harms the motor functionality and speech. With latest IoT …
Skin Detection System Based Fuzzy Neural Networks for Skin Identification
Abstract Machine learning is an effective technology for big data augmentation and analysis.
This research proposes an integrated machine learning algorithm (Skin Detection System) …
This research proposes an integrated machine learning algorithm (Skin Detection System) …
Recent Advances in Multimodal Machine Learning for Parkinson's Disease Diagnosis: A Comprehensive Review
Parkinson's Disease is a complex neurodegenerative disorder with diverse clinical
manifestations, necessitating accurate and early diagnosis for optimal patient management …
manifestations, necessitating accurate and early diagnosis for optimal patient management …
Synthetic Data Generation Techniques for Developing AI-based Speech Assessments for Parkinson's Disease (A Comparative Study)
M Parsapoor - arXiv preprint arXiv:2312.02229, 2023 - arxiv.org
Changes in speech and language are among the first signs of Parkinson's disease (PD).
Thus, clinicians have tried to identify individuals with PD from their voices for years. Doctors …
Thus, clinicians have tried to identify individuals with PD from their voices for years. Doctors …
Evolutionary Effect of Fuzzy Logic in the Healthcare Domain.
RK Jati, S Kar, NC Sahu - Bio Science Research Bulletin …, 2023 - search.ebscohost.com
Fuzzy logic plays an essential role in human life. It has been used in various fields such as
facial pattern recognition, air conditioners, washing machines, vacuum cleaners etc. The …
facial pattern recognition, air conditioners, washing machines, vacuum cleaners etc. The …
Parkinson's Disease Detection
L Yadav, E Puthooran, P Modi - 2023 - ir.juit.ac.in
Voice-based biomarkers can help diagnose symptoms of dementia such as Parkinson's
disease, PD is a modern neurodegenerative disease affecting about 7 million people …
disease, PD is a modern neurodegenerative disease affecting about 7 million people …