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 …
Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations
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 …
and physiological systems of the brain. This disease is also known as tremor. The common …
[HTML][HTML] A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …
[HTML][HTML] An artificial intelligence-based decision support system for early and accurate diagnosis of Parkinson's Disease
Abstract People with Parkinson's Disease (PD) might struggle with sadness, restlessness, or
difficulty speaking, chewing, or swallowing. A diagnosis can be challenging because there is …
difficulty speaking, chewing, or swallowing. A diagnosis can be challenging because there is …
[PDF][PDF] Deep learning solution for pathological voice detection using LSTM-based autoencoder hybrid with multi-task learning
KG Dávid Sztahó, TM Gábriel - I14th International Joint …, 2021 - researchgate.net
In this paper, a deep learning approach is introduced to detect pathological voice disorders
from continuous speech. Speech as bio-signal is getting more and more attention as a …
from continuous speech. Speech as bio-signal is getting more and more attention as a …
Intrusion Detection in Cyber Physical Systems Using Multichain
CM Nalayini, J Katiravan, V Sathya - Malware Analysis and Intrusion …, 2023 - igi-global.com
Distributed denial of service attack is a kind of cyber smack. Though this attack is known by
everyone, its severity is increasing day by day. It denies the services of the network or online …
everyone, its severity is increasing day by day. It denies the services of the network or online …
Converging Technologies for Health Prediction and Intrusion Detection in Internet of Healthcare Things with Matrix-Valued Neural Coordinated Federated Intelligence
This paper introduces Matrix-Valued Neural Coordinated Federated Deep Extreme Machine
Learning, a novel approach for enhancing health prediction and intrusion detection on the …
Learning, a novel approach for enhancing health prediction and intrusion detection on the …
Elevating security and disease forecasting in smart healthcare through artificial neural synchronized federated learning
Protecting patient privacy has become a top priority with the introduction of Healthcare 5.0
and the growth of the Internet of Things. This study provides a revolutionary strategy that …
and the growth of the Internet of Things. This study provides a revolutionary strategy that …
[PDF][PDF] Optimizing Support Vector Machine Performance for Parkinson's Disease Diagnosis Using GridSearchCV and PCA-Based Feature Extraction.
Background: Parkinson's disease (PD) is a critical neurodegenerative disorder affecting the
central nervous system and often causing impaired movement and cognitive function in …
central nervous system and often causing impaired movement and cognitive function in …
A Survey of Machine Learning Approaches for Parkinson's Disease Prediction
Parkinson's disease, a degenerative disorder of the nervous system, has a significant impact
on a substantial population across the globe, leading to gradual deterioration in both, non …
on a substantial population across the globe, leading to gradual deterioration in both, non …