Data science, analytics and artificial intelligence in e-health: trends, applications and challenges

Juliana Castaneda; Laura Calvet; Sergio Benito; Abtin Tondar; Angel A. Juan

doi:10.57645/20.8080.02.2

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Data science, analytics and artificial intelligence in e-health: trends, applications and challenges

Articles

https://doi.org/10.57645/20.8080.02.2

Juliana Castaneda
Laura Calvet
Sergio Benito
Abtin Tondar
Angel A. Juan

Juliana Castaneda

https://orcid.org/0000-0002-7175-3769

Laura Calvet

https://orcid.org/0000-0001-8425-1381

Sergio Benito

https://orcid.org/0000-0003-3380-4091

Abtin Tondar

https://orcid.org/0000-0002-7106-906X

Angel A. Juan

https://orcid.org/0000-0003-1392-1776

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Castaneda, Juliana et al. “Data science, analytics and artificial intelligence in e-health: trends, applications and challenges”. SORT-Statistics and Operations Research Transactions, vol.VOL 47, no. 1, pp. 81-128, doi:10.57645/20.8080.02.2.

Abstract

More than ever, healthcare systems can use data, predictive models, and intelligent algorithms to optimize their operations and the service they provide. This paper reviews the existing literature regarding the use of data science/analytics methods and artificial intelligence algorithms in healthcare. The paper also discusses how healthcare organizations can benefit from these tools to efficiently deal with a myriad of new possibilities and strategies. Examples of real applications are discussed to illustrate the potential of these methods. Finally, the paper highlights the main challenges regarding the use of these methods in healthcare, as well as some open research lines.

Keywords

e-health
data science
analytics
artificial intelligence
machine learning

https://doi.org/10.57645/20.8080.02.2

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From February 2013 articles are under a Creative Commons license: CC BY-NC-ND You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work), you may not use the work for commercial purposes and you may not alter, transform, or build upon the work.

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Data science, analytics and artificial intelligence in e-health: trends, applications and challenges

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