To what extent healthcare analytics influences decision making in precision medicine

doi:10.1016/j.procs.2021.12.253

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90398

Título:	To what extent healthcare analytics influences decision making in precision medicine
Autor(es):	Mosavi, Nasimsadat Santos, Manuel
Palavras-chave:	Big data analytics Clinical decision making Healthcare analytics knowledge discivery Optimization Precision medicine SOAP
Data:	2022
Editora:	Elsevier 1
Revista:	Procedia Computer Science
Citação:	Mosavi, N. S., & Santos, M. F. (2022). To what extent healthcare analytics influences decision making in precision medicine. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2021.12.253
Resumo(s):	Although Healthcare Analytics (HA) plays a critical role to uncover the link between data and discover novel and actionable information, the level that each analytics influences clinical decision-making is different. This paper aims to highlight the role of each HA in respect to Precision Medicine (PM). Where, PM is defined as a new approach in medical decision-making that takes into account individual differences in genetic, environmental, and lifestyle indicators. Besides, Simon's model in decision-making assesses the performance of clinical decision-making followed by HA. In addition, SOAP framework is discussed as an example under the influence of HA for adopting PM.
Tipo:	Artigo em ata de conferência
URI:	https://hdl.handle.net/1822/90398
DOI:	10.1016/j.procs.2021.12.253
ISSN:	1877-0509
Versão da editora:	https://www.sciencedirect.com/science/article/pii/S1877050921024923
Arbitragem científica:	yes
Acesso:	Acesso aberto
Aparece nas coleções:	CAlg - Artigos em revistas internacionais / Papers in international journals