Automated methods for diagnosis of Parkinson's disease and predicting severity level

Z Ayaz, S Naz, NH Khan, I Razzak, M Imran - Neural Computing and …, 2023 - Springer
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …

The role of neural network for the detection of Parkinson's disease: a scoping review

MS Alzubaidi, U Shah, H Dhia Zubaydi, K Dolaat… - Healthcare, 2021 - mdpi.com
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …

Evolving deep learning convolutional neural networks for early COVID-19 detection in chest X-ray images

M Khishe, F Caraffini, S Kuhn - Mathematics, 2021 - mdpi.com
This article proposes a framework that automatically designs classifiers for the early
detection of COVID-19 from chest X-ray images. To do this, our approach repeatedly makes …

Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification

M Ghane, MC Ang, M Nilashi, S Sorooshian - … and Biomedical Engineering, 2022 - Elsevier
The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …

Explainable artificial intelligence (XAI) in pain research: Understanding the role of electrodermal activity for automated pain recognition

P Gouverneur, F Li, K Shirahama, L Luebke… - Sensors, 2023 - mdpi.com
Artificial intelligence and especially deep learning methods have achieved outstanding
results for various applications in the past few years. Pain recognition is one of them, as …

[PDF][PDF] Emotimask: Mapping mouth movements to an led matrix for improving recognition when teaching with a face mask

S Hasshu, S O'Connor, S Colreavy-Donnelly, S Kuhn… - 2022 - papers.iafor.org
The Covid-19 pandemic has led to the adoption of face masks in physical teaching spaces
across the world. This has in-turn presented a number of challenges for practitioners in the …

A biomedical voice measurement diagnosis of Parkinson's disease through the utilization of artificial neural network

NFM Ayap, BA Eugenio, JIV Hinolan… - Journal of Physics …, 2021 - iopscience.iop.org
In 2016 alone, there were a total of 120,000 cases of PD diagnosed and documented,
however, experts believe that there are still loss cases which remain to be undiagnosed …

Convolutional neural networks to detect Parkinson's disease based on voice recordings and transfer learning

DFM Delgado, MJR Bazaga… - … on Evolving and …, 2024 - ieeexplore.ieee.org
An early detection of Parkinson's Disease (PD) is important for patients' quality of life and
current detection methods are not optimal in this task. The search of an automatic, low-cost …

Performance Analysis of Machine Learning Classification for Parkinson's Disease from Biomedical Audio Data

A Suganthi, N Sarmiladevi, A Indhuja… - … and Control for …, 2023 - ieeexplore.ieee.org
Millions of people throughout the world suffer from the crippling neurological ailment known
as Parkinson's disease (PD). While there is no cure for PD, early recognition and …

[PDF][PDF] The Role of Neural Network for the Detection of Parkinson's Disease: A Scoping Review. Healthcare 2021, 9, 740

MS Alzubaidi, U Shah, HD Zubaidi, K Dolaat… - 2021 - manara.qnl.qa
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …