Synthetic data generation: State of the art in health care domain
Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …
research in every aspect of life including the health care domain. However, privacy risks and …
[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …
motor complications, degrading the quality of life of PD patients. Over the past two decades …
A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform
In recent years, there has been increasing interest in the development of telediagnosis and
telemonitoring systems for Parkinson's disease (PD) based on measuring the motor system …
telemonitoring systems for Parkinson's disease (PD) based on measuring the motor system …
Deep learning-based Parkinson's disease classification using vocal feature sets
H Gunduz - Ieee access, 2019 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a progressive neurodegenerative disease with multiple motor
and non-motor characteristics. PD patients commonly face vocal impairments during the …
and non-motor characteristics. PD patients commonly face vocal impairments during the …
Explaining deep neural networks with a polynomial time algorithm for shapley value approximation
M Ancona, C Oztireli, M Gross - International Conference on …, 2019 - proceedings.mlr.press
The problem of explaining the behavior of deep neural networks has recently gained a lot of
attention. While several attribution methods have been proposed, most come without strong …
attention. While several attribution methods have been proposed, most come without strong …
Early detection of Parkinson's disease using deep learning and machine learning
Accurately detecting Parkinson's disease (PD) at an early stage is certainly indispensable
for slowing down its progress and providing patients the possibility of accessing to disease …
for slowing down its progress and providing patients the possibility of accessing to disease …
Hyperparameter optimization with approximate gradient
F Pedregosa - International conference on machine learning, 2016 - proceedings.mlr.press
Most models in machine learning contain at least one hyperparameter to control for model
complexity. Choosing an appropriate set of hyperparameters is both crucial in terms of …
complexity. Choosing an appropriate set of hyperparameters is both crucial in terms of …
Voice for health: the use of vocal biomarkers from research to clinical practice
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
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 …
Gait analysis in Parkinson's disease: An overview of the most accurate markers for diagnosis and symptoms monitoring
L Di Biase, A Di Santo, ML Caminiti, A De Liso… - Sensors, 2020 - mdpi.com
The aim of this review is to summarize that most relevant technologies used to evaluate gait
features and the associated algorithms that have shown promise to aid diagnosis and …
features and the associated algorithms that have shown promise to aid diagnosis and …