Application of a Tabu search-based Bayesian network in identifying factors related to hypertension
| Autor: | Lixia Qiu, Jinhua Pan, Weimei Song, Zhen Wei, Xuelei Zhang, Wenhan Li, Huaxiang Rao, Zhuang Zhang, Hao Ren, Yuying Hou |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male China hypertension Adolescent related factors Population Observational Study Coronary Artery Disease Logistic regression Body Mass Index 03 medical and health sciences 0302 clinical medicine Risk Factors Diabetes mellitus Odds Ratio medicine Humans Obesity 030212 general & internal medicine Myocardial infarction education Stroke Aged education.field_of_study business.industry Bayes Theorem General Medicine Odds ratio Middle Aged medicine.disease Logistic Models Bayesian networks tabu search algorithm 030220 oncology & carcinogenesis ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Female business Body mass index Research Article Demography |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 0025-7974 |
| DOI: | 10.1097/md.0000000000016058 |
| Popis: | Supplemental Digital Content is available in the text The study aimed to study the related factors of hypertension using multivariate logistic regression analysis and tabu search-based Bayesian Networks (BNs). A cluster random sampling method was adopted to obtain samples of the general population aged 15 years or above. Multivariate logistic regression analysis indicated that gender, age, cultural level, body mass index (BMI), central obesity, drinking, diabetes mellitus, Myocardial infarction, Coronary heart disease, Stroke are associated with hypertension. While BNs found connections between those related factors and hypertension were established by complex network structure, age, smoking, occupation, cultural level, BMI, central obesity, drinking, diabetes mellitus, myocardial infarction, coronary heart disease, nephropathy, stroke were direct connection with hypertension, gender was indirectly linked to hypertension through drinking. The results showed that BNs can not only find out the correlative factors of hypertension but also analyze how these factors affect hypertension and their interrelationships, which is consistent with practical theory better than logistic regression and has a better application prospects. |
| Databáze: | OpenAIRE |
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