Healthcare Big Data Analytics - Computational Optimization and Cohesive Approaches

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

Product details

• Assisted by: Victor Albuquerque (Editor), Rutvij H. Jhaveri (Editor), Vic Hugo C de Albuquerque et al (Editor), Akash Kumar Bhoi (Editor), Ranjit Panigrahi (Editor)
• Publisher: De Gruyter
• Languages: English
• Product format: Hardback
• Released: 01.12.2023
• EAN: 9783110750737
• ISBN: 978-3-11-075073-7
• No. of pages: 344
• Dimensions: 179 mm x 24 mm x 246 mm
• Weight: 710 g
• Illustrations: 17 b/w and 86 col. ill., 33 b/w tbl.
• Series: Intelligent Biomedical Data Analysis
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT