TY - JOUR
T1 - Data science, analytics and artificial intelligence in e-health: trends, applications and challenges
AU - Castaneda, Juliana
AU - Calvet Liñan, Laura
AU - Benito, Sergio
AU - Tondar, Abtin
AU - Juan Pérez, Ángel Alejandro
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - E-health
KW - Data science
KW - Analytics
KW - Artificial intelligence
KW - Machine learning
UR - http://dialnet.unirioja.es/servlet/articulo?codigo=8997788
UR - https://www.scopus.com/pages/publications/85167462277
U2 - 10.57645/20.8080.02.2
DO - 10.57645/20.8080.02.2
M3 - Article
SN - 1696-2281
VL - 47
SP - 81
EP - 128
JO - SORT
JF - SORT
IS - 1
ER -