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Applying Naive Bayesian Networks to Disease Prediction: a Systematic Review
INTRODUCTION: Naive Bayesian networks (NBNs) are one of the most effective and simplest Bayesian networks for prediction. OBJECTIVE: This paper aims to review published evidence about the application of NBNs in predicting disease and it tries to show NBNs as the fundamental algorithm for the best pe...
Autores principales: | Langarizadeh, Mostafa, Moghbeli, Fateme |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AVICENA, d.o.o., Sarajevo
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5203736/ https://www.ncbi.nlm.nih.gov/pubmed/28077895 http://dx.doi.org/10.5455/aim.2016.24.364-369 |
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