Reprint

eHealth Innovative Approaches and Applications

Edited by
May 2024
260 pages
  • ISBN978-3-7258-0921-9 (Hardback)
  • ISBN978-3-7258-0922-6 (PDF)

This book is a reprint of the Special Issue eHealth Innovative Approaches and Applications that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

Innovative ICT technologies, approaches, and applications are becoming increasingly pervasive in medicine and healthcare. At the same time, physicians and medical professionals are adopting and exploiting these complex and advanced systems based on the latest technologies for their daily routine. Scientific research constantly proposes new approaches and applications with high potential for use in the e-health sector. Therefore, it is necessary to disseminate these new results and enhancements in this area to take full advantage of the latest advances in ICT applied to the medical sector. This Special Issue presents innovative e-health approaches and applications that exploit the most recent ICT technologies and techniques, such as artificial intelligence, the Internet of Medical Things, and others, to implement smart tools and methodologies to support the work of physicians and promote the adoption of new e-health tools in medicine and by healthcare organizations. Moreover, the contributions included in the Special Issue address the issues that usually affect this domain, such as data privacy, cyber security of the devices and healthcare infrastructures, awareness, and the involvement of medical personnel.

Format
  • Hardback
License
© 2024 by the authors; CC BY-NC-ND license
Keywords
artificial intelligence; machine learning; vital signs; wearable sensors; cancer detection; cancer classification; unsupervised classification; entropy regularization procedure; penalized classification model; interval-valued data; imprecise data; android security; log analysis; IoMT security; IoT security; artificial intelligence; IoMT; cyber hygiene; cyberattacks; healthcare; human factors; DICOM; medical imaging; lossless compression; network latency reduction; dynamic risk assessment; cyber security; medical IoT; systematic literature review; electronic health records; healthcare informatics; natural language processing; text classification; diagnosis code; inpatient care; medical imaging; DICOM; PACS; eHealth; simulation; COVID-19; influenza; machine learning; ICN; cache scheduling; wireless network; energy efficiency; IoT; big data; algorithm; action research; active learning computing education; cross-disciplinary skills; engagement; nutrition; project-based learning (PBL); extreme multilabel text classification; hierarchical deep neural network; natural language processing; BioBERT; PubMed MeSH; fractal dimension; fractal analysis; oral oncology; oral carcinoma; OPMDs; OSCC; n/a