A systematic literature review of papers on big data in healthcare published between 2010
and 2015 was conducted. This paper reviews the definition, process, and use of big data in …

Big data has transformed into a trend phrase in healthcare and neurosurgery, becoming a
pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a …

Big data analytics is one of the state-of-the-art tools to optimize networks and transform them
from merely being a blind tube that conveys data, into a cognitive, conscious, and self …

Introduction: Acute myocardial infarction (heart attack) is one of the deadliest diseases
patients face. The key to cardiovascular disease management is to evaluate large scores of …

Purpose Drawing on information processing view (IPV) theory, the objective of this study is
to explore big data analytics (BDA) in pharmaceutical supply chain (PSC) for better business …

Healthcare system has evolved once with technology, trying to improve the quality of living
and save human lives. Big data is nowadays one of the most important domain of future …

Background: Big data and predictive analysis have been hailed as the fourth paradigm of
science. Big data and analytics are critical to the future of business sustainability. The …

Background and objectives Mobile and ubiquitous devices are everywhere, generating an
exorbitant amount of data. New generations of healthcare systems are using mobile devices …

Glovsky and Popeo, PC (57) ABSTRACT Systems and methods of a medical analytics
system are described herein. The medical analytics system can include a machine learning …

Bilgisayar teknolojisinin, çevrimiçi akıllı teknolojilerin gelişimi ile üretilen dijital veri miktarı
her geçen gün hızla artmaktadır. Bu durum, geleceği öngörmede, karar vermede, sağlıkta …