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 …
[HTML][HTML] Ethical issues in online psychotherapy: A narrative review
J Stoll, JA Müller, M Trachsel - Frontiers in psychiatry, 2020 - frontiersin.org
Background The provision of psychotherapy over distance using technology is a growing
market reaching many patients and therefore the risks and benefits need to be known by all …
market reaching many patients and therefore the risks and benefits need to be known by all …
Exploring automatic diagnosis of COVID-19 from crowdsourced respiratory sound data
Audio signals generated by the human body (eg, sighs, breathing, heart, digestion, vibration
sounds) have routinely been used by clinicians as indicators to diagnose disease or assess …
sounds) have routinely been used by clinicians as indicators to diagnose disease or assess …
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 …
[HTML][HTML] Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and …
The problem of respiratory sound classification has received good attention from the clinical
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
Digital health technologies: opportunities and challenges in rheumatology
DH Solomon, RS Rudin - Nature Reviews Rheumatology, 2020 - nature.com
The past decade in rheumatology has seen tremendous innovation in digital health
technologies, including the electronic health record, virtual visits, mobile health, wearable …
technologies, including the electronic health record, virtual visits, mobile health, wearable …
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 …
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification
H Gunduz - Biomedical Signal Processing and Control, 2021 - Elsevier
Parkinson's disease (Pd) is a progressive disease caused by the loss of brain cells and
brings about speech and pronunciation defects during the early stages. This study revealed …
brings about speech and pronunciation defects during the early stages. This study revealed …
Robust automated Parkinson disease detection based on voice signals with transfer learning
Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …
than 6 million people around the world. However, conventional techniques for PD detection …
Feature-driven machine learning to improve early diagnosis of Parkinson's disease
L Parisi, N RaviChandran, ML Manaog - Expert Systems with Applications, 2018 - Elsevier
Although advances in speech processing have facilitated the prognostic assessment of
patients with Parkinson's Disease (PD), there is no objective method towards its early …
patients with Parkinson's Disease (PD), there is no objective method towards its early …