Using the Tabu-search-algorithm-based Bayesian network to analyze the risk factors of coronary heart diseases / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 895-899, 2016.
Article
en Zh
| WPRIM
| ID: wpr-736045
Biblioteca responsable:
WPRO
ABSTRACT
Under the available data gathered from a coronary study questionnaires with 10 792 cases,this article constructs a Bayesian network model based on the tabu search algorithm and calculates the conditional probability of each node,using the Maximum-likelihood.Pros and cons of the Bayesian network model are evaluated to compare against the logistic regression model in the analysis of coronary factors.Applicability of this network model in clinical study is also investigated.Results show that Bayesian network model can reveal the complex correlations among influencing factors on the coronary and the relationship with coronary heart diseases.Bayesian network model seems promising and more practical than the logistic regression model in analyzing the influencing factors of coronary heart disease.
Texto completo:
1
Base de datos:
WPRIM
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
Zh
Revista:
Chinese Journal of Epidemiology
Año:
2016
Tipo del documento:
Article