Artificial Intelligence and Big Data Analytics for Smart Healthcare: Next Generation Technology Driven Personalized Medicine And Smart Healthcare
Editat de Miltiadis Lytras, Akila Sarirete, Anna Visvizi, Kwok Tai Chuien Limba Engleză Paperback – 21 oct 2021
The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry.
- Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine
- Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them
- Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers
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Specificații
ISBN-13: 9780128220603
ISBN-10: 0128220600
Pagini: 290
Ilustrații: Approx. 100 illustrations
Dimensiuni: 191 x 235 x 19 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
Seria Next Generation Technology Driven Personalized Medicine And Smart Healthcare
ISBN-10: 0128220600
Pagini: 290
Ilustrații: Approx. 100 illustrations
Dimensiuni: 191 x 235 x 19 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
Seria Next Generation Technology Driven Personalized Medicine And Smart Healthcare
Public țintă
Clinicians, medical doctors, bioinformaticiansCuprins
Section 1: Big data infrastructure, framework and design for smart healthcareSection 2: Signal processing techniques for smart healthcare applicationsSection 3: Business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcareSection 4: Emerging tools and techniques for smart healthcareSection 5: Challenges (e.g. security, privacy, and policy) in big data for smart healthcare. While in existing books, the focus is on limited areas (sections)Section 6: Appendixes