Bringing Bayesian networks to bedside: a web-based framework

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

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

Conference proceedings International

Title: CBMS

Pages: 369-372

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4