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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2016
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| Materias: | |
| 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 |