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 …
average age of onset for PD a neurological disorder, is 55 and up. A wide variety of motor …
Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
In today's digital healthcare landscape, numerous clinical institutions collaborate to enhance
healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in …
healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in …
Digital healthcare framework for patients with disabilities based on deep federated learning schemes
Utilizing digital healthcare services for patients who use wheelchairs is a vital and effective
means to enhance their healthcare. Digital healthcare integrates various healthcare …
means to enhance their healthcare. Digital healthcare integrates various healthcare …
[HTML][HTML] On the reliability of single-camera markerless systems for overground gait monitoring
Abstract Background and Objective: Motion analysis is crucial for effective and timely
rehabilitative interventions on people with motor disorders. Conventional marker-based …
rehabilitative interventions on people with motor disorders. Conventional marker-based …
Determination of bandgap of period 3, 4, and 5 transition metal dopants on zinc oxide using an artificial neural network based approach
Artificial intelligence (AI) and machine learning (ML) have rapidly emerged as valuable tools
for chemical research, offering new ways to analyze and understand complex chemical …
for chemical research, offering new ways to analyze and understand complex chemical …
Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection
B Leng, H Jiang, B Wang, J Wang, G Luo - Computers in Biology and …, 2024 - Elsevier
Problem Organoids are 3D cultures that are commonly used for biological and medical
research in vitro due to their functional and structural similarity to source organs. The …
research in vitro due to their functional and structural similarity to source organs. The …
[PDF][PDF] Enhancing Heart Disease Diagnosis Using Machine Learning Classifiers
AAH Alkurdi - Fusion: Practice and Applications, 2023 - researchgate.net
Heart diseases are the primary cause of death worldwide. The approximate mortality rate
due to cardiovascular diseases is a staggering 18 million lives per year. many human lives …
due to cardiovascular diseases is a staggering 18 million lives per year. many human lives …
[PDF][PDF] A Framework for Enhancing Privacy and Anonymity in Blockchain-Enabled IoT Devices
With the increase in IoT (Internet of Things) devices comes an inherent challenge of security.
In the world today, privacy is the prime concern of every individual. Preserving one's privacy …
In the world today, privacy is the prime concern of every individual. Preserving one's privacy …
Fiber-Optics IoT Healthcare System Based on Deep Reinforcement Learning Combinatorial Constraint Scheduling for Hybrid Telemedicine Applications
Telemedicine is an emerging development in the healthcare domain, where the Internet of
Things (IoT) fiber optics technology assists telemedicine applications to improve overall …
Things (IoT) fiber optics technology assists telemedicine applications to improve overall …
Balancing cerebrovascular disease data with integrated ensemble learning and SVM-SMOTE
The paper addresses the challenge of imbalanced classification in the context of
cerebrovascular diseases, including stroke, transient ischemic attack (TIA), and vascular …
cerebrovascular diseases, including stroke, transient ischemic attack (TIA), and vascular …