Machine Learning in Healthcare
Bauder and Khoshgoftaar (2018) presented a machine learning based framework to detect fraud in medical claims filed in US. Publicly...
(339) 200 9443
Bauder and Khoshgoftaar (2018) presented a machine learning based framework to detect fraud in medical claims filed in US. Publicly...
Big data analysis on health care data promises improved care for patients, even improved outcomes for patients and lower the cost of...
Health care information system usually consists of patient’s data related to clinical and medical activities (Yu, Kollipara, Penmetsa &...
Sowmya and Sravanthi (2017) define big data as the one which is huge and cannot be efficiently processed using traditional data...
Cloud computing in health care industry is propelled by requirements to cut operational cost and improve the quality of care (Raza,...
Yeagley (2015) defines audits as periodic validation of the IT security implementation of an enterprise by a certification authority....
Big data analysis can be applied to gain useful insights from data in-rest as well as data in-motion (INAP, 2019). Data in-rest is...
Leetaru (2018) outlined that even if someone is not using social media but their mere use of pharmacy for a refill result in sharing...
Network Architecture On a high level, a framework of big data based analytical network architecture will be consisted of input data,...
Atzori, Antonio and Morabito (2010) highlighted some of the high level issues related to the Internet of Things (IoT), which include...
Miranda, Isaias and Costa (2014) define Web 1.0 as a content delivery platform where content was static and websites were mostly based on...
Amongst some key limitations of MapReduce is that it serves well for tasks requiring batch processing but not suitable for real-time...
The basic architecture of MapReduce offer simple and powerful programming model on large clusters of commodity machines for scalable...
Cloud computing is currently a forerunner technology amongst other information and computing technologies, powered by attributes like,...
Web 3.0 After web 2.0, new generation of web was evolved with read, write and an additional execution capability (Choudhury, 2014). Web...
UbaidullahBokhari, Shallal and Tamandani (2016) mentioned some of the key security issues faced by cloud as data traffic hijacking,...
Joshi and Kadhiwala (2017) highlighted couple of security issues which are inherently related to big data during data transition and data...
In general, there are certain requirements for stream processing like, keep the data moving, handle stream imperfections, guaranteed...
Varying implementation of cloud computing applications, web and enterprise requiring different database features, which are not usually...
MapReduce is an efficient yet simple framework of programming model (Yan, Yang, Yu, Li & Li, 2012). The framework divide the job into...