Cover Image

Next generation eHealth : applied data science, machine learning and extreme computational intelligence /

"Next Generation eHealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence discusses the emergence, the impact, and the potential of sophisticated computational capabilities in healthcare. This book provides useful therapeutic targets to improve diagnosis, therapies...

Full description

Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Lytras, Miltiadis D., 1973- (Editor), Housawi, Abdulrahman (Editor), Alsaywid, Basim (Editor), Aljohani, Naif, 1983- (Editor)
Format:	eBook
Language:	English
Published:	London, United Kingdom : Academic Press, [2025]
Subjects:	Artificial intelligence > Medical applications. Medical innovations. Computational intelligence. Machine learning. Medical informatics. Machine Learning Médecine > Innovations. Intelligence informatique. Apprentissage automatique. Médecine > Informatique. Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Machine learning, big data, and IoT for medical informatics /
Published: (2021)

Federated learning for digital healthcare systems /
Published: (2024)

Machine learning in healthcare and security : advances, obstacles, and solutions /
Published: (2024)

Machine learning, big data, and IoT for medical informatics /
Published: (2021)

Machine learning in medical imaging and computer vision /
Published: (2023)

Machine learning and artificial intelligence in healthcare systems : tools and techniques /
Published: (2023)

Artificial intelligence and deep learning in pathology /
Published: (2021)

AI in clinical practice : a guide to artificial intelligence and digital medicine /
by: Collecchia, Giampaolo, et al.
Published: (2024)

Practical AI for healthcare professionals : machine learning with Numpy, Scikit-learn, and TensorFlow /
by: Suri, Abhinav
Published: (2022)

Deep learning techniques for biomedical and health informatics /
Published: (2020)

Deep learning for medical applications with uniue data /
Published: (2022)

Explainable Artificial Intelligence in Medical Decision Support Systems.
by: Imoize, Agbotiname Lucky
Published: (2023)

Handbook of deep learning in biomedical engineering : techniques and applications /
Published: (2021)

Cutting-edge computational intelligence in healthcare with convolution and kronecker convolution-based approaches /
Published: (2026)

TRANSFORMING GLOBAL HEALTHCARE the role of ai and iot in modern medical.
Published: (2026)

AI and data science in healthcare 5.0 /
Published: (2025)

The thinking healthcare system : artificial intelligence and human equity /
by: Monlezun, Dominique J.
Published: (2023)

Precision health and artificial intelligence : with privacy, ethics, bias, health equity, best practices, and case studies /
by: Panesar, Arjun
Published: (2023)

Analyzing explainable AI in healthcare and the pharmaceutical industry /
Published: (2024)

Signal processing driven machine learning techniques for cardiovascular data processing /
Published: (2024)

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN HEALTHCARE
Published: (2026)

Machine learning for biomedical applications : with Scikit-Learn and PyTorch /
by: Deprez, Maria, et al.
Published: (2024)

Intelligence-based medicine : artificial intelligence and human cognition in clinical medicine and healthcare /
by: Chang, Anthony C.
Published: (2020)

Transforming healthcare : artificial intelligence, machine learning, and 5G innovations for enhanced patient care /
Published: (2025)

Transforming healthcare : artificial intelligence, machine learning, and 5G innovations for enhanced patient care /
Published: (2025)

Federated Learning for Neural Disorders in Healthcare 6.0 /
Published: (2025)

Deep learning for targeted treatments : transformation in healthcare /
Published: (2022)

Artificial intelligence, machine learning, and mental health in pandemics : a computational approach /
Published: (2022)

Transforming healthcare : artificial intelligence, machine learning, and 5G innovations for enhanced patient care /
Published: (2026)

Artificial intelligence in healthcare data /
Published: (2020)

Machine learning and artificial intelligence in radiation oncology : a guide for clinicians /
Published: (2024)

Computational intelligence aided systems for healthcare domain /
Published: (2023)

Artificial intelligence in clinical practice : how AI technologies impact medical research and clinics /
Published: (2024)

Responsible artificial intelligence re-engineering the global public health ecosystem : a humanity worth saving /
by: Monlezun, Dominique J.
Published: (2024)

Emerging fuzzy intelligent systems for smart healthcare management : applications of disc q-rung orthopair fuzzy set /
by: Ashraf, Shahzaib, et al.
Published: (2025)

Dynamics of swarm intelligence health analysis for the next generation /
Published: (2023)

Artificial intelligence in e-health framework.
Published: (2025)

Machine learning for biomedical applications : with Scikit-Learn and PyTorch /
by: Deprez, Maria, et al.
Published: (2024)

Artificial intelligence in healthcare /
Published: (2020)

Artificial intelligence applications for health care /
Published: (2022)