[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
Parkinson's Disease Diagnosis Using Deep Learning: A Bibliometric Analysis and Literature Review
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
Improving Parkinson's disease recognition through voice analysis using deep learning
R Khaskhoussy, YB Ayed - Pattern Recognition Letters, 2023 - Elsevier
Parkinson's disease (PD) corresponds to one of the most common neurological diseases in
the world, which is mainly manifested by motor, cognitive, and language disorders. The …
the world, which is mainly manifested by motor, cognitive, and language disorders. The …
Robust and language-independent acoustic features in Parkinson's disease
Introduction The analysis of vocal samples from patients with Parkinson's disease (PDP) can
be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech …
be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech …
[HTML][HTML] In Silico Decoding of Parkinson's: Speech & Writing Analysis
Background: Parkinson's disease (PD) has transitioned from a rare condition in 1817 to the
fastest-growing neurological disorder globally. The significant increase in cases from 2.5 …
fastest-growing neurological disorder globally. The significant increase in cases from 2.5 …
An integrated study fusing systems biology and machine learning algorithms for genome-based discrimination of IPF and NSIP diseases: a new approach to the …
Idiopathic pulmonary fibrosis (IPF) and nonspecific interstitial pneumonia (NSIP) are the two
types of idiopathic interstitial pneumonia that are most prevalent. IPF and NSIP, often known …
types of idiopathic interstitial pneumonia that are most prevalent. IPF and NSIP, often known …
Smartphone-based detection of early Parkinson's disease with tapping records and a multimodal-multiscale ensemble network
Potential Parkinson's disease (PD) patients have increased dramatically in the aging
society, and it is necessary to explore an automated detection method for early PD patients …
society, and it is necessary to explore an automated detection method for early PD patients …
Machine learning approaches for neurological disease prediction: A systematic review
A Fatima, S Masood - Expert Systems, 2024 - Wiley Online Library
In this article, we present a systematic and exhaustive review regarding the trends, datasets
employed, as well as findings achieved in the last 11 years in neurological disorder …
employed, as well as findings achieved in the last 11 years in neurological disorder …
A deep convolutional autoencoder-based approach for Parkinson's disease diagnosis through speech signals
R Khaskhoussy, Y Ben Ayed - … Conference on Advanced Data Mining and …, 2022 - Springer
Parkinson's Disease (PD) is a neurodegenerative disease that primarily manifests through
cognitive, motor and speech disorders. But it has been proven that voice changes in …
cognitive, motor and speech disorders. But it has been proven that voice changes in …
Parkinson's disease detection from voice using artificial intelligence techniques: A review
MH Ali, SL Mohammed, A Al-Naji - AIP Conference Proceedings, 2024 - pubs.aip.org
Parkinson's disease (PD) is a long-term neurodegenerative disorder affecting the human
motor system, resulting in many motor and non-motor characteristics. The disease arises as …
motor system, resulting in many motor and non-motor characteristics. The disease arises as …