Your browser doesn't support javascript.
loading
Using Bayesian networks with Tabu-search algorithm to explore risk factors for hyperhomocysteinemia.
Song, Wenzhu; Qin, Zhiqi; Hu, Xueli; Han, Huimin; Li, Aizhong; Zhou, Xiaoshaung; Li, Yafeng; Li, Rongshan.
Affiliation
  • Song W; School of Public Health, Shanxi Medical University, No.56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
  • Qin Z; Department of Biochemistry and Molecular Biology, School of Basic Medicine, Shanxi Medical University, Taiyuan, 030001, Shanxi, China.
  • Hu X; School of Public Health, Shanxi Medical University, No.56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
  • Han H; Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital) of Shanxi Medical University, Taiyuan, 030012, China.
  • Li A; Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, 030012, China.
  • Zhou X; Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital) of Shanxi Medical University, Taiyuan, 030012, China.
  • Li Y; Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital) of Shanxi Medical University, Taiyuan, 030012, China. dr.yafengli@gmail.com.
  • Li R; Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, 030012, China. dr.yafengli@gmail.com.
Sci Rep ; 13(1): 1610, 2023 01 28.
Article in En | MEDLINE | ID: mdl-36709366
ABSTRACT
Hyperhomocysteinemia (HHcy) is a condition closely associated with cardiovascular and cerebrovascular diseases. Detecting its risk factors and taking some relevant interventions still represent the top priority to lower its prevalence. Yet, in discussing risk factors, Logistic regression model is usually adopted but accompanied by some defects. In this study, a Tabu Search-based BNs was first constructed for HHcy and its risk factors, and the conditional probability between nodes was calculated using Maximum Likelihood Estimation. Besides, we tried to compare its performance with Hill Climbing-based BNs and Logistic regression model in risk factor detection and discuss its prospect in clinical practice. Our study found that Age, sex, α1-microgloblobumin to creatinine ratio, fasting plasma glucose, diet and systolic blood pressure represent direct risk factors for HHcy, and smoking, glycosylated hemoglobin and BMI constitute indirect risk factors for HHcy. Besides, the performance of Tabu Search-based BNs is better than Hill Climbing-based BNs. Accordingly, BNs with Tabu Search algorithm could be a supplement for Logistic regression, allowing for exploring the complex network relationship and the overall linkage between HHcy and its risk factors. Besides, Bayesian reasoning allows for risk prediction of HHcy, which is more reasonable in clinical practice and thus should be promoted.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hyperhomocysteinemia Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hyperhomocysteinemia Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: China