From complex questionnaire and interviewing data to intelligent Bayesian Network models for medical decision support

OBJECTIVES: 1) To develop a rigorous and repeatable method for building effective Bayesian network (BN) models for medical decision support from complex, unstructured and incomplete patient questionnaires and interviews that inevitably contain examples of repetitive, redundant and contradictory resp...

Descripción completa

Detalles Bibliográficos
Autores principales: Constantinou, Anthony Costa, Fenton, Norman, Marsh, William, Radlinski, Lukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4839499/
https://www.ncbi.nlm.nih.gov/pubmed/26830286
http://dx.doi.org/10.1016/j.artmed.2016.01.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4839499/
https://www.ncbi.nlm.nih.gov/pubmed/26830286
http://dx.doi.org/10.1016/j.artmed.2016.01.002

Ejemplares similares