Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications - Brossura

Brossura

ISBN 10: 0323919073 ISBN 13: 9780323919074

Casa editrice: Academic Press, 2022

Riassunto

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work.

• Presents theories, methods and approaches in which data analytic techniques are used for medical data
• Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases
• Discusses social, behavioral, and medical fake news analytics for medical information systems

Su questo libro

Informazioni sull?autore

Pantea Keikhosrokiani is a Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM; Penang, Malaysia). She was a teaching fellow at the National Advanced IPv6 Centre of Excellence (Nav6), USM. She has received her PhD in Service System Engineering, Information System, and her master’s degree in information technology from the School of Computer Sciences, USM. She has been graduated in Bachelor of Science in Electrical Engineering Electronics. Her articles have been published in distinguished edited books and journals including Elsevier (Telematics & Informatics), Springer (Cognition, Technology, & Work), Taylors and Francis and IGI global, and have been indexed by ISI, Scopus and PubMed. Her recent book is published by Elsevier entitled Perspectives in The Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application. Her areas of interest for research and teaching are Information Systems Development, Behavior-change support systems, Database Systems, Health and Medical Informatics, Business Informatics, Location-Based Mobile Applications, Big Data, and Technopreneurship.

Dettagli dell'edizione

• Editore: Academic Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0323919073
• ISBN 13: 9780323919074
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 354
• Redattore: Keikhosrokiani
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile