Bringing Bayesian networks to bedside: a web-based framework

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Oliveira, R (Autor) Outra; Ferreira, J (Autor) FMUP; Libanio, D (Autor) FMUP; Dias C (Autor) FMUP; Pedro Pereira Rodrigues (Autor) FMUP

Ata de Conferência Internacional

Título: CBMS

Páginas: 369-372

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00N-6AB

DOI: 10.1109/cbms.2017.37

Abstract (EN): Bayesian networks are one of the most intuitive statistical models for both estimation, classification and prediction of patients' outcomes. However, the availability of inference software in clinical settings is still limited. This work presents preliminary steps towards the creation of simple web-based forms that can access a powerful Bayesian network inference engine, making the derived models usable at bedside by both the clinicians and the patients themselves.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4