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

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Pantea Keikhosrokiani (Senior Lecturer, School of Computer Sciences, Universiti Sains Malaysia, Minden, Penang, Malaysia)

Big Data Analytics for Healthcare

Datasets, Techniques, Life Cycles, Management, and Applications

Pantea Keikhosrokiani (Senior Lecturer, School of Computer Sciences, Universiti Sains Malaysia, Minden, Penang, Malaysia)

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English

Academic Press Inc
24 May 2022

Biotechnology industries; Personal & public health

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.

Edited by: Pantea Keikhosrokiani (Senior Lecturer School of Computer Sciences Universiti Sains Malaysia Minden Penang Malaysia)
Imprint: Academic Press Inc
Country of Publication: United Kingdom
Dimensions: Height: 276mm, Width: 216mm,
Weight: 970g
ISBN: 9780323919074
ISBN 10: 0323919073
Pages: 354
Publication Date: 24 May 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.