Repositori institucional URV
| Autor según el artículo: | Juan, Angel A. Tondar, Abtin Benito, Sergio Calvet, Laura Castaneda, Juliana |
| Año de publicación de la revista: | 2023 |
| Tipo de publicación: | ##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| Resumen: | 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. |
| Palabras clave: | e-health |
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