ArticleScientific reports2019
Application of tabu search-based Bayesian networks in exploring related factors of liver cirrhosis complicated with hepatic encephalopathy and disease identification.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 18 citations in OpenAlex.
- Using Bayesian networks with Tabu-search algorithm to explore risk factors for hyperhomocysteinemia.Scientific reports · 2023Article
- A Bayesian network-based approach for identifying risk factors and predicting ischemic stroke in infective endocarditis patients.Frontiers in cardiovascular medicine · 2023Article
- Risk factors assessment and a Bayesian network model for predicting ischemic stroke in patients with cardiac myxoma.Frontiers in cardiovascular medicine · 2023Article
- Risk factors and a Bayesian network model to predict ischemic stroke in patients with dilated cardiomyopathy.Frontiers in neuroscience · 2022Article
- Cardiovascular Disease Mortality and Potential Risk Factor in China: A Multi-Dimensional Assessment by a Grey Relational Approach.International journal of public health · 2022Article
- Identifying risk factors of developing type 2 diabetes from an adult population with initial prediabetes using a Bayesian network.Frontiers in public health · 2022Article
- Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study.BMC public health · 2021Article
- Autologous Bone Marrow Cell Infusion for the Treatment of Decompensated Liver Cirrhosis Patients With Type 2 Diabetes Mellitus.Frontiers in physiology · 2021Article
- Impact of Environmental Degradation on Human Health: An Assessment Using Multicriteria Decision Making.Frontiers in public health · 2021Article
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Authors and funding
9 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
This study aimed to explore the related factors and strengths of hepatic cirrhosis complicated with hepatic encephalopathy (HE) by multivariate logistic regression analysis and tabu search-based Bayesian networks (BNs), and to deduce the probability of HE in patients with cirrhosis under different conditions through BN reasoning. Multivariate logistic regression analysis indicated that electrolyte disorders, infections, poor spirits, hepatorenal syndrome, hepatic diabetes, prothrombin time, and total bilirubin are associated with HE. Inferences by BNs found that infection, electrolyte disorder and hepatorenal syndrome are closely related to HE. Those three variables are also related to each other, indicating that the occurrence of any of those three complications may induce the other two complications. When those three complications occur simultaneously, the probability of HE may reach 0.90 or more. The BN constructed by the tabu search algorithm can analyze not only how the correlative factors affect HE but also their interrelationships. Reasoning using BNs can describe how HE is induced on the basis of the order in which doctors acquire patient information, which is consistent with the sequential process of clinical diagnosis and treatment.
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