Reprint

Information Technologies Applied on Healthcare

Edited by
May 2024
204 pages
  • ISBN978-3-7258-1127-4 (Hardback)
  • ISBN978-3-7258-1128-1 (PDF)

This book is a reprint of the Special Issue Information Technologies Applied on Healthcare that was published in

Medicine & Pharmacology
Public Health & Healthcare
Summary

By the year 2030, it is expected that young people will use e-health services more, and emergent technologies, including Artificial Intelligence, Big Data, the Web, IoT Technologies, and mobile devices, as well as governmental policies, will play a crucial role in successfully delivering relevant data to health professionals, thereby allowing them to obtain information and advice that benefit health consumers.

This Special Issue collects and consolidates innovative and high-quality research contributions regarding Information Technologies Applied on Healthcare to different disciplines and its challenges such as the following: the systematization and standardization of healthcare information systems, the detection of diseases at early stages, open healthcare data, integrated health services, cybersecurity and data protection in healthcare, interoperability data health, information technologies in healthcare, human–computer interaction (HCI) in healthcare, intelligent medical devices and smart technologies, artificial intelligent techniques applied to healthcare, digital healthcare, telehealth (telemonitoring for diseases, remote consultation, and remote education and support), prognosis, diagnosis and treatment in healthcare, big data analytics for healthcare, computer games for healthcare, m-Health, smart technologies for healthcare, predictive modeling and analytics for healthcare, computer vision in healthcare, and healthcare decision support systems.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
Internet of Healthcare Things; human activity recognition; smart technologies for healthcare; m-Health; mobile devices; digital healthcare; artificial intelligence; expert system; robust design; feature selection; COVID-19; disease prediction; genetic algorithm; healthcare; convolutional neural network; deep learning; Mobile-Net SSD; Pose-Net; posture recognition; tensor flow lite; digital transformation; health information systems; emerging technologies; Health 4.0; empirical study; health information system; information system; knowledge management; healthcare; depression; text classification; knowledge distillation; dimensionality reduction; Twitter; COVID-19; geriatric care; IoT; vital parameters; posture recognition; image recognition; deep learning; non-contact monitoring; anxiety; anxiety prediction; fuzzy logic; fuzzy inference system; quality of healthcare service; internet-based health service; Chinese medicine; healthcare knowledge service; blockchain; blockchain barriers; blockchain in healthcare; future of healthcare blockchain; GCC countries

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