Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33026, first published .
A Bayesian Network Analysis of the Probabilistic Relationships Between Various Obesity Phenotypes and Cardiovascular Disease Risk in Chinese Adults: Chinese Population-Based Observational Study

A Bayesian Network Analysis of the Probabilistic Relationships Between Various Obesity Phenotypes and Cardiovascular Disease Risk in Chinese Adults: Chinese Population-Based Observational Study

A Bayesian Network Analysis of the Probabilistic Relationships Between Various Obesity Phenotypes and Cardiovascular Disease Risk in Chinese Adults: Chinese Population-Based Observational Study

Authors of this article:

Simiao Tian1 Author Orcid Image ;   Mei Bi2 Author Orcid Image ;   Yanhong Bi1 Author Orcid Image ;   Xiaoyu Che1 Author Orcid Image ;   Yazhuo Liu2 Author Orcid Image

Journals

  1. Tian T, Kong F, Yang R, Long X, Chen L, Li M, Li Q, Hao Y, He Y, Zhang Y, Li R, Wang Y, Qiao J. A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data. Reproductive Biology and Endocrinology 2023;21(1) View
  2. Upadhyaya P, Zhang K, Li C, Jiang X, Kim Y. Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine. JMIR Medical Informatics 2023;11:e38266 View
  3. Su Z, Efremov L, Mikolajczyk R. Differences in the levels of inflammatory markers between metabolically healthy obese and other obesity phenotypes in adults: A systematic review and meta-analysis. Nutrition, Metabolism and Cardiovascular Diseases 2024;34(2):251 View
  4. Juhan N, Zubairi Y, Mahmood Zuhdi A, Mohd Khalid Z. Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis. BMJ Open 2023;13(11):e066748 View
  5. Esmaeili P, Roshanravan N, Ghaffari S, Mesri Alamdari N, Asghari-Jafarabadi M. Unraveling atherosclerotic cardiovascular disease risk factors through conditional probability analysis with Bayesian networks: insights from the AZAR cohort study. Scientific Reports 2024;14(1) View
  6. Polotskaya K, Muñoz-Valencia C, Rabasa A, Quesada-Rico J, Orozco-Beltrán D, Barber X. Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review. Machine Learning and Knowledge Extraction 2024;6(2):1243 View
  7. Chen S, Wu P, Peng W, Zhang H. A Bayesian network analysis of the probabilistic relationships between metabolically healthy obesity and cardiovascular disease risk under new diagnostic criteria. Technology and Health Care 2024:1 View