IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Intelligent Big Data Analytics in Health

Intelligent Big Data Analytics in Health
View Sample PDF
Author(s): Ebru Aydindag Bayrak (Istanbul University – Cerrahpaşa, Turkey) and Pinar Kirci (Istanbul University – Cerrahpaşa, Turkey)
Copyright: 2022
Pages: 40
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch081

Purchase

View Intelligent Big Data Analytics in Health on the publisher's website for pricing and purchasing information.

Abstract

Intelligent big data analytics and machine learning systems have been introduced to explain for the early diagnosis of neurological disorders. A number of scholarly researches about intelligent big data analytics in healthcare and machine learning system used in the healthcare system have been mentioned. The authors have explained the definition of big data, big data samples, and big data analytics. But the main goal is helping researchers or specialists in providing opinion about diagnosing or predicting neurological disorders using intelligent big data analytics and machine learning. Therefore, they focused on the healthcare systems using these innovative ways in particular. The information of platform and tools about big data analytics in healthcare is investigated. Numerous academic studies based on the detection of neurological disorders using both machine learning methods and big data analytics have been reviewed.

Related Content

Anu Sayal. © 2023. 27 pages.
Galiveeti Poornima, Vinay Janardhanachari, Deepak S. Sakkari. © 2023. 18 pages.
Hemapriya K. E., Saraswathi S.. © 2023. 21 pages.
Mahalakshmi R., Uzra Ismat, Praveena K. N.. © 2023. 31 pages.
Rajagopal R., Karthikeyan P., Menaka E., Karunakaran V., Harshavaradhanan Pon. © 2023. 17 pages.
Kowsalya S., Saraswathi S.. © 2023. 20 pages.
Kalyanapu Srinivas, K. Mounika, Vyshnavi Kandukuri, Harshini B., B. Sai Sreeja, Abhinay K.. © 2023. 11 pages.
Body Bottom