Antimicrobial resistance and machine learning: past, present, and future
Machine learning has become ubiquitous across all industries, including the relatively new
application of predicting antimicrobial resistance. As the first bibliometric review in this field …
application of predicting antimicrobial resistance. As the first bibliometric review in this field …
Restoring private autism dataset from sanitized database using an optimized key produced from enhanced combined PSO-GWO framework
The timely identification of autism spectrum disorder (ASD) in children is imperative to
prevent potential challenges as they grow. When sharing data related to autism for an …
prevent potential challenges as they grow. When sharing data related to autism for an …
Integrating Artificial Intelligence and Big Data into Smart Healthcare Systems: A Comprehensive Review of Current Practices and Future Directions
M Badawy - Artificial Intelligence Evolution, 2023 - ojs.wiserpub.com
The COVID-19 pandemic has unveiled both the vulnerabilities and resilience of global
healthcare systems, sparking a surge in innovation, including the accelerated adoption of …
healthcare systems, sparking a surge in innovation, including the accelerated adoption of …
Secure Medical Image Transmission and Storagein IoT Cloud Using GAN-RBM with Real-TimeAnalysis
K Saranya, A Valarmathi - 2024 - researchsquare.com
As IoT devices become increasingly integrated into healthcare systems, thesecurity and
privacy of medical image data transmitted and stored in cloudenvironments are paramount …
privacy of medical image data transmitted and stored in cloudenvironments are paramount …
Original Research Article Enhancing data security of cardiac patients in IoMT with Twin-Shield Encryption
S Gandhi, T Poongodi, KS Kumar - Journal of Autonomous …, 2024 - jai.front-sci.com
Cardiac disease kills most people worldwide. Predicting and monitoring cardiac problems
early improves disease treatment and patient outcomes. The Internet of Medical Things …
early improves disease treatment and patient outcomes. The Internet of Medical Things …
[PDF][PDF] Enhancing Firefly Algorithm for better Network lifetime optimization in Healthcare Monitoring System-Cloud Computing Environment
K Porkodi, DR Balaji - researchgate.net
The Internet of Things (IoT), a new phenomenon in the technology industry, is mostly
responsible for updating healthcare systems by gathering and analyzing patient …
responsible for updating healthcare systems by gathering and analyzing patient …
[PDF][PDF] Applications of Hybrid K-Means Clustering and Genetic Algorithm (HKCGA) in the healthcare domain: A Review
V Rathore, RS Kushwaha - researchgate.net
The integration of Hybrid K-Means Clustering and Genetic Algorithm (HKCGA) presents a
novel approach for addressing complex healthcare challenges. This paper explores the …
novel approach for addressing complex healthcare challenges. This paper explores the …
Predictive Analytics and Early Intervention of Diseases Using Industry 5.0
Due to the Industrial Revolution, healthcare has evolved from Healthcare 1.0 to Healthcare
5.0. Earlier, medical data was handled manually, and data was shared only between …
5.0. Earlier, medical data was handled manually, and data was shared only between …