Data science, analytics and artificial intelligence in e-health : trends, applications and challenges
Castaneda, Juliana (Universitat Oberta de Catalunya)
Calvet Liñan, Laura (Universitat Oberta de Catalunya)
Benito Rey, Sergio (Universitat Oberta de Catalunya)
Tondar, Abtin (Universitat Oberta de Catalunya)
Juan, Ángel A (Universitat Politècnica de València)

Date:	2023
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.
Note:	Acknowledgments. This work has been partially supported by the Divina Pastora Seguros company.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	E-health ; Data science ; Analytics ; Artificial intelligence ; Machine learning
Published in:	SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 81-128, ISSN 2013-8830

Adreça original: https://raco.cat/index.php/SORT/article/view/416906
DOI: 10.57645/20.8080.02.2

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