About: Big Data and Reality Mining in Healthcare: Promise and Potential

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Big Data and Reality Mining in Healthcare: Promise and Potential
Creator	Al Moatassime, Hassan Asri, Hiba Mousannif, Hajar Zahir, Jihad
source	PMC
abstract	Nowadays individuals are creating a huge amount of data; with a cell phone in every pocket, a laptop in every bag and wearable sensors everywhere, the fruits of the information are easy to see but less noticeable is the information itself. This data could be particularly useful in making people’s lives healthier and easier, by contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and make real-time decisions. In this paper, we explain the potential benefits of big data to healthcare and explore how it improves treatment and empowers patients, providers and researchers. We also describe the capabilities of reality mining in terms of individual health, social network mapping, behavior patterns and treatment monitoring. We illustrate the benefits of reality mining analytics that lead to promote patients’ health, enhance medicine, reduce cost and improve healthcare value and quality. Furthermore, we highlight some challenges that big data analytics faces in healthcare.
has issue date	2020-06-05(xsd:dateTime)
bibo:doi	10.1007/978-3-030-51935-3_13
has license	no-cc
sha1sum (hex)	d9fc69377ebb8d90b19c14fa086151fdc03c2666
schema:url	https://doi.org/10.1007/978-3-030-51935-3_13
resource representing a document's title	Big Data and Reality Mining in Healthcare: Promise and Potential
has PubMed Central identifier	PMC7340942
schema:publication	Image and Signal Processing
resource representing a document's body	covid:d9fc69377ebb8d90b19c14fa086151fdc03c2666#body_text
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