scholarly journals Iterative Bayesian Network Implementation by Using Annotated Association Rules

2006 ◽  
pp. 326-333 ◽  
Author(s):  
Clément Fauré ◽  
Sylvie Delprat ◽  
Jean-François Boulicaut ◽  
Alain Mille
Keyword(s):  
Bayesian Network ◽  
Association Rules

scholarly journals Variance Risk Identification and Treatment of Clinical Pathway by Integrated Bayesian Network and Association Rules Mining

Entropy ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. 1191 ◽  
Author(s):  
Gang Du ◽  
Yinan Shi ◽  
Aijun Liu ◽  
Taoning Liu
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Cesarean Section ◽  
Bayesian Network ◽  
Clinical Features ◽  
Association Rules ◽  
Postpartum Hemorrhage ◽  
Clinical Pathways ◽  
Variance Analysis ◽  
Key Factors

With the continuous development of data mining techniques in the medical field, variance analysis in clinical pathways based on data mining approaches have attracted increasing attention from scholars and decision makers. However, studies on variance analysis and treatment of specific kinds of disease are still relatively scarce. In order to reduce the hazard of postpartum hemorrhage after cesarean section, we conducted a detailed analysis on the relevant risk factors and treatment mechanisms, adopting the integrated Bayesian network and association rule mining approaches. By proposing a Bayesian network model based on regression analysis, we calculated the probability of risk factors determining the key factors that result in postpartum hemorrhage after cesarean section. In addition, we mined a few association rules regarding the treatment of postpartum hemorrhage on the basis of different clinical features. We divided the risk factors into primary and secondary risk factors by realizing the classification of different causes of postpartum hemorrhage after cesarean section and sorted the posterior probability to obtain the key factors in the primary and secondary risk factors: uterine atony and prolonged labor. The rules of clinical features associated with the management of postpartum hemorrhage during cesarean section were obtained. Finally, related strategies were proposed for improving medical service quality and enhancing the rescue efficiency of clinical pathways in China.

Bayesian Network with Association Rules Applied in the Recognition of Handwritten Digits

2011 ◽  
Vol 187 ◽  
pp. 7-12
Author(s):  
Wen Qing Zhao ◽  
Yan Fang Zhang ◽  
Sheng Long Zhang
Keyword(s):  
Bayesian Network ◽  
Association Rules ◽  
Classification Problem ◽  
Hill Climbing ◽  
Classification Algorithms ◽  
Handwritten Numeral Recognition ◽  
Hill Climbing Algorithm ◽  
Bayesian Network Classifier ◽  
Numeral Recognition ◽  
Learn Network

Classification Based on Association (CBA) algorithm built a classifier based on the association rules, but without considering the uncertainty in the classification problem. This paper proposed a Bayesian network classifier based on the association rules. The algorithm extracts the candidate set uses association rules and classification algorithms related to the network, then uses “greedy hill-climbing algorithm” to learn network structure to get a better topology, and verify that this algorithm is valid on handwritten numeral recognition.

scholarly journals Bayesian Network and Association Rules-based Transformer Oil Temperature Prediction

2019 ◽  
Vol 1314 ◽  
pp. 012066
Author(s):  
Wei Rao ◽  
Lipeng Zhu ◽  
Sen Pan ◽  
Pei Yang ◽  
Junfeng Qiao
Keyword(s):  
Bayesian Network ◽  
Association Rules ◽  
Transformer Oil ◽  
Temperature Prediction
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