Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease
Artificial intelligence (AI) systems are increasingly used in healthcare applications, although
some challenges have not been completely overcome to make them fully trustworthy and …
some challenges have not been completely overcome to make them fully trustworthy and …
Federated learning for biometric recognition: a survey
Recently, deep learning (DL) has achieved great success in biometric recognition. The
application of DL has also led to a high demand for biometric data. However, as people …
application of DL has also led to a high demand for biometric data. However, as people …
Context recognition algorithms for energy-efficient freezing-of-gait detection in Parkinson's disease
Freezing of gait (FoG) is a disabling clinical phenomenon of Parkinson's disease (PD)
characterized by the inability to move the feet forward despite the intention to walk. It is one …
characterized by the inability to move the feet forward despite the intention to walk. It is one …
Exploring federated learning for speech-based parkinson's disease detection
Parkinson's Disease is the second most prevalent neurodegenerative disorder, currently
affecting as high as 3% of the global population. Research suggests that up to 80% of …
affecting as high as 3% of the global population. Research suggests that up to 80% of …
Leveraging local data sampling strategies to improve federated learning
Federated learning (FL) facilitates shared training of machine learning models while
maintaining data privacy. Unfortunately, it suffers from data imbalance among participating …
maintaining data privacy. Unfortunately, it suffers from data imbalance among participating …
[HTML][HTML] A novel variational mode decomposition based convolutional neural network for the identification of freezing of gait intervals for patients with Parkinson's …
M Shaban - Machine Learning with Applications, 2024 - Elsevier
Freezing of gait (FoG) is a debilitating and serious motor system complication of Parkinson's
disease (PD) that may expose patients to frequent falls and life-threating injuries. Several …
disease (PD) that may expose patients to frequent falls and life-threating injuries. Several …
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression
Abstract Services based on Artificial Intelligence (AI) are becoming increasingly pervasive in
our society. At the same time, however, we are also witnessing a growing awareness …
our society. At the same time, however, we are also witnessing a growing awareness …
Tremor Detection in Parkinson's Disease from Wearable Data: A Comparative Study of Centralized Learning versus Federated Learning
Tremors represent an early and primary symptom in diagnosing Parkinson's disease (PD).
Monitoring tremor's frequency and intensity by wearable device sensors helps healthcare …
Monitoring tremor's frequency and intensity by wearable device sensors helps healthcare …
Detection of Leg Tremors in Parkinson's Disease Patients: An Experimental Wearable Leg Band Solution
Parkinson's disease (PD) is a gradually worsening disorder of the nervous system that
affects a person's ability to control their movements. As the disease gets worse, it makes it …
affects a person's ability to control their movements. As the disease gets worse, it makes it …
Applications of Federated Deep Learning Models in Healthcare Era
Massive quantities of health-related imaging data are collected constantly because of
technological improvements in diagnostic equipment. With the mass quantity of information …
technological improvements in diagnostic equipment. With the mass quantity of information …