Editors-in-Chief: Prof. & SMIEEE, Victor Hugo C. de Albuquerque, ARMTEC Tecnologia em Robótica, Brazil
Prof. & FIEEE, Jinde CAO, Southeast University, China
Prof. Haiping Du, University of Wollongong, Australia
Co-Editor-in-Chief: Prof. & SMIEEE, Weiping Ding, Nantong University, China
Email: [email protected] ISSN: 2642-2859 (Online), No fees to publish articles in this journal
Google Scholar: https://scholar.google.com/citations?user=4vr_Yn8AAAAJ&hl=en
Dr. Sathishkumar Karupusamy, Bharathiar University, India.
Please directly send your article to June 30, 2022 by July 31, 2022[email protected]Dr. Durairaj RAJAN, University of Africa, Nigeria.
Description: Lately, data advances, for example, Artificial Intelligence and Machine Learning have gotten extraordinary consideration and have caused significant changes in conventional wellbeing ways of life. Specifically, these advancements essentially affected E-Health development. The consistently expanding volume of huge clinical information is creating new freedoms for development of savvy E-Health and M-wellbeing. With the fast expansion of programming and equipment advances like fake innovations, portable stage, applications and wearable gadgets, E-wellbeing and M-wellbeing immediately making strides in medical services regions. Man-made reasoning (AI), savvy smart gadgets, and high velocity information transmission organizing methods in medical care units have set a benchmark in the philosophy of medical care. With the constant shift to computerized innovation.
It needs fifth-age (5G) correspondence as a major organization foundation to interface with clinical gadgets. Web of Things (IoT) produces available information for AI and adds to advanced wellbeing. This extraordinary issue will give a gathering to the distribution of articles that address wide difficulties on both hypothetical and application parts of AI in wellbeing Informatics. We welcome researchers and analysts to contribute unique exploration articles just as survey articles that will invigorate the proceeding with exertion on the utilization of AI ways to deal with tackle medical issues.
The point of this Special Issue is to unite unique exploration and audit articles examining progressed man-made reasoning and AI in medical services 5.0. We invite entries about new numerical demonstrating standards for describing physiological intricacy and progressed information logical calculations for exact infection forerunner identification. Besides, this Special Issue likewise invites research talking about reasonable and responsible dynamic models, methods for settling significant medical care related issues (i.e., security, dependability, and unwavering quality).
Potential topics include but are not limited to the following:
Supervised and unsupervised machine learning in healthcare 5.0
Explainable artificial intelligence in healthcare 5.0
Health 5.0 information representation, services, extraction and discovery
Health 5.0 information system modelling, design, and health information visualization
Confidentiality, privacy, and security of health information
Biometrics in healthcare 5.0
Preventive healthcare through digital technologies
Internet of Medical Things in healthcare 5.0
Data mining knowledge, discovery and decision-making support in healthcare 5.0
Biomedical signal image processing and analysis in healthcare 5.0
Big data, artificial intelligence and machine Learning for E-health and M-health
The use of E-health and M-health
Diagnosis of viruses through artificial intelligence and machine Learning
Computational intelligence on E-health and M-health
Big medical data
Security, trust and privacy in E-health and M-health
E-health and M-health related software, equipment and technology
AI in Computer-Aided Diagnosis systems;
Knowledge engineering in medical data-driven
Applications of Machine learning techniques & Deep learning in Health Informatics
AI in Pattern recognition
Medical data capturing
Applications of Neural networks in Health Informatics
Explain ability for AI in healthcare
Ethical, legal, and social implications of using AI system in healthcare
The future of AI in healthcare
Special Issues are an important component of IEC journals. They deal with more focused topics with high current interest falling within the scope of the journal in which they are published. They should be organized by recognized experts in the area and attract articles of the highest quality. Special Issue proposals are welcome at any time during the year.
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