The role of big data analytics in Internet of Things

2017 ◽  
Vol 129 ◽  
pp. 459-471 ◽  
Author(s):  
Ejaz Ahmed ◽  
Ibrar Yaqoob ◽  
Ibrahim Abaker Targio Hashem ◽  
Imran Khan ◽  
Abdelmuttlib Ibrahim Abdalla Ahmed ◽  
...  
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Vol 99 ◽  
pp. 247-259 ◽  
Author(s):  
Muhammad Habib ur Rehman ◽  
Ibrar Yaqoob ◽  
Khaled Salah ◽  
Muhammad Imran ◽  
Prem Prakash Jayaraman ◽  
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Zhihan Lv ◽  
Ranran Lou ◽  
Jinhua Li ◽  
Amit Kumar Singh ◽  
Houbing Song

2021 ◽  
Vol 13 ◽  
pp. 175628722199813
Author(s):  
B. M. Zeeshan Hameed ◽  
Aiswarya V. L. S. Dhavileswarapu ◽  
Nithesh Naik ◽  
Hadis Karimi ◽  
Padmaraj Hegde ◽  
...  

Artificial intelligence (AI) has a proven record of application in the field of medicine and is used in various urological conditions such as oncology, urolithiasis, paediatric urology, urogynaecology, infertility and reconstruction. Data is the driving force of AI and the past decades have undoubtedly witnessed an upsurge in healthcare data. Urology is a specialty that has always been at the forefront of innovation and research and has rapidly embraced technologies to improve patient outcomes and experience. Advancements made in Big Data Analytics raised the expectations about the future of urology. This review aims to investigate the role of big data and its blend with AI for trends and use in urology. We explore the different sources of big data in urology and explicate their current and future applications. A positive trend has been exhibited by the advent and implementation of AI in urology with data available from several databases. The extensive use of big data for the diagnosis and treatment of urological disorders is still in its early stage and under validation. In future however, big data will no doubt play a major role in the management of urological conditions.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 54595-54614 ◽  
Author(s):  
Syed Attique Shah ◽  
Dursun Zafer Seker ◽  
Sufian Hameed ◽  
Dirk Draheim

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