Healthcare Big Data Analytics

Computational Optimization and Cohesive Approaches
1. Auflage 2024
ISBN: 978-3-11-075073-7
Verlag: De Gruyter

Buch, Englisch, 344 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 710 g

Reihe: ISSN

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.

Zielgruppe

Researchers, Graduate Students, Professionals and Developers.

Autoren/Hrsg.

Kumar Bhoi, Akash

Panigrahi, Ranjit

Albuquerque, Victor, Hugo C. de

H. Jhaveri, Rutvij

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data

Über Autor(innen)

R. Panigrahi, A. Kumar Bhoi, Sikkim Manipal U, India; V. H. de Albuquerque, ARMTEC Fortaleza, Brazil; R. H. Jhaveri, PDPU, India.