Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/71868

TítuloPredictive and prescriptive analytics in healthcare: a survey
Autor(es)Lopes, João António Araújo
Guimarães, Tiago André Saraiva
Santos, Manuel
Palavras-chaveHealthcare
Predictive
Prescriptive
Analytics
Data mining
Machine learning
DataJan-2020
EditoraElsevier 1
RevistaProcedia Computer Science
CitaçãoLopes, J., Guimarães, T., & Santos, M. F. (2020). Predictive and Prescriptive Analytics in Healthcare: A Survey. Procedia Computer Science, 170, 1029-1034. doi: https://doi.org/10.1016/j.procs.2020.03.078
Resumo(s)Over the years, health area has received numerous studies on how to improve its management and administration activities and, fundamentally, the Healthcare provided to its patients. Currently, there is an exponential growth of data in the health system. In this sense, it is crucial the implementation of technologies capable of using it in a beneficial way for the organization, helping it to fulfill its strategic objectives. Subsequently, this same data, if used correctly, has the capacity to assist the organization at an administrative level, as well as at the level of patient care, using predictive and optimization models capable of revolutionizing the current health system. Thus, this article aims to identify the advances that have been made in this area, focusing on the development of predictive and optimization techniques, applied in Health, and how these can improve the lives of managers, doctors and patients.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/71868
DOI10.1016/j.procs.2020.03.078
ISSN1877-0509
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S1877050920305159
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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