A comprehensive review on advancements in artificial intelligence approaches and future perspectives for early diagnosis of Parkinson's disease

AM Ibrahim, MA Mohammed - International Journal of Mathematics …, 2024 - ijmscs.org
Parkinson's disease (PD) is a neurological condition that generally strikes people in their
average age of onset for PD a neurological disorder, is 55 and up. A wide variety of motor …

Rise of deep learning clinical applications and challenges in omics data: a systematic review

MA Mohammed, KH Abdulkareem, AM Dinar… - Diagnostics, 2023 - mdpi.com
This research aims to review and evaluate the most relevant scientific studies about deep
learning (DL) models in the omics field. It also aims to realize the potential of DL techniques …

[HTML][HTML] Adversarial attack and defence through adversarial training and feature fusion for diabetic retinopathy recognition

S Lal, SU Rehman, JH Shah, T Meraj, HT Rauf… - Sensors, 2021 - mdpi.com
Due to the rapid growth in artificial intelligence (AI) and deep learning (DL) approaches, the
security and robustness of the deployed algorithms need to be guaranteed. The security …

Optimal deep learning based fusion model for biomedical image classification

RF Mansour, NM Alfar, S Abdel‐Khalek… - Expert …, 2022 - Wiley Online Library
Automated examination of biomedical signals plays a vital role to diagnose diseases and
offers useful data to several applications in the areas of physiology, sports medicine, and …

A hybrid U-lossian deep learning network for screening and evaluating Parkinson's disease

R Maskeliūnas, R Damaševičius, A Kulikajevas… - Applied sciences, 2022 - mdpi.com
Speech impairment analysis and processing technologies have evolved substantially in
recent years, and the use of voice as a biomarker has gained popularity. We have …

Local pattern transformation based feature extraction for recognition of Parkinson's disease based on gait signals

SJ Priya, AJ Rani, MSP Subathra, MA Mohammed… - Diagnostics, 2021 - mdpi.com
Parkinson's disease (PD) is a neuro-degenerative disorder primarily triggered due to the
deterioration of dopamine-producing neurons in the substantia nigra of the human brain …

[Retracted] Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID‐19 Patients in IoT‐Fog Computing Environments

K Hameed Abdulkareem… - Computational …, 2022 - Wiley Online Library
COVID‐19 has depleted healthcare systems around the world. Extreme conditions must be
defined as soon as possible so that services and treatment can be deployed and intensified …

Retinal blood vessel segmentation by using the MS-LSDNet network and geometric skeleton reconnection method

H Du, X Zhang, G Song, F Bao, Y Zhang, W Wu… - Computers in Biology …, 2023 - Elsevier
Automatic retinal blood vessel segmentation is a key link in the diagnosis of ophthalmic
diseases. Recent deep learning methods have achieved high accuracy in vessel …

Attention deficit/hyperactivity disorder classification based on deep spatio-temporal features of functional magnetic resonance imaging

S Liu, L Zhao, J Zhao, B Li, SH Wang - Biomedical Signal Processing and …, 2022 - Elsevier
Attention deficit/hyperactivity disorder is a neurological disorder characterized by inattention,
hyperactivity and impulsivity. Since the resting functional magnetic resonance imaging (rs …

Early and High‐Accuracy Diagnosis of Parkinson's Disease: Outcomes of a New Model

SA Doumari, K Berahmand… - … Mathematical Methods in …, 2023 - Wiley Online Library
Parkinson's disease (PD) is one of the significant common neurological disorders of the
current age that causes uncontrollable movements like shaking, stiffness, and difficulty. The …