Debnath Bhattacharyya, Yu-Chen Hu

Data-Driven Decision Support System in Intelligent HealthCare (eBook, PDF)

• Format: PDF

Produktbeschreibung

Generative AI is one of the most trending topics and application in every field of Science and Engineering with AI and Machine Intelligence. It is used to develop new products and automate the system by generating the new and improved models and improve decision making systems.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 272
• Erscheinungstermin: 12. August 2025
• Englisch
• ISBN-13: 9781040430798
• Artikelnr.: 74495575

Autorenporträt

Debnath Bhattacharyya is a Professor in the Computer Science and Engineering Department, KL University, Bowrampet, Hyderabad, India. His research interests include Security Engineering, Pattern Recognition, Biometric Authentication, Multimodal Biometric Authentication, Data Mining and Image Processing.

Yu-Chen Hu is a Professor in the Department of Computer Science at Tunghai University, Taichung City, Taiwan. His interests include image and signal processing, data compression, information hiding, information security, computer network, deep learning, and data engineering.

Inhaltsangabe

Preface. List of Contributors. Foundations of Computational Techniques in
Healthcare and Drug Discovery: A Deep Learning Perspective. Machine
Learning Algorithms and Models for Predictive Healthcare Analytics in Drug
Discovery. Computational Intelligence Transforming Healthcare 4.0:
Innovations in Medical Image Analysis through AI and IoT Integration.
Unlocking Medical Data Intelligence: Methodologies and Practical
Applications. Revolutionizing Health Informatics: Artificial Intelligence
Applications in Health Care. Empowering Smart Healthcare with Federated
Learning: Advancements in Human Health. Precision Prognosis in Oncology:
Harnessing Deep Learning for Solid Tumor Imaging. Optimizing Healthcare
Decision-Making: Advanced Models for Diverse Applications. Artificial
Intelligence-Powered Disease Diagnosis: A New Era in Medical Practice.
Cutting-Edge Medical Diagnostics: Identifying Cancerous and Non-Cancerous
Tumors with Precision. Harnessing Deep Neural Networks for Human Disease
Identification: Insights and Applications. Estimating Disease Severity with
Precision: Leveraging Deep Neural Networks. Nodule and Irregular Cell
Detection in Organs: Advancements in Medical Imaging. Enhancing Lung
Disease Identification Through Ensemble Learning Methods. Unveiling
Advanced Techniques for Feature Extraction in Medical Data.