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Using Bayesian Networks to Analyze Medical Data

    https://link.springer.com/chapter/10.1007/3-540-45065-3_28
    Abstract. Due to many possible causes involved with infertility, it is often difficult for medical doctors to diagnose the exact cause of the problem and to decide the …

Bayesian networks in healthcare: Distribution by medical …

    https://www.sciencedirect.com/science/article/pii/S0933365720300774
    Expert-driven and hybrid BNs, which supplement data with knowledge, could potentially be the most capable approach for supporting Learning Health Systems (LHS), …

Bayesian Networks for Risk Prediction Using Real-World …

    https://pubmed.ncbi.nlm.nih.gov/30975395/
    Conclusions: Bayesian networks represent a powerful and flexible tool for the analysis of health economics and outcomes research data in the era of precision medicine. …

Applications of Bayesian network models in predicting …

    https://www.nature.com/articles/s41598-018-24758-5
    Our previously published Pigengene package is publicly available through Bioconductor, which can be used to conveniently fit a …

Using Bayesian Networks to Analyze Medical Data

    https://www.semanticscholar.org/paper/Using-Bayesian-Networks-to-Analyze-Medical-Data-Kim-Jung/7cb2ddc545fbeecea0030a781fc35416397bdd0c
    Through learning Bayesian networks from the clinical data, we identify the significant factors and their dependence relationships in determining the pregnancy of an infertility …

Using Bayesian Networks for Risk Assessment in …

    https://www.intechopen.com/chapters/67527
    OOBN is a type of Bayesian network, comprising both instance node and usual node. An instance node is a subnetwork representing another Bayesian network. Using OOBNs, a large …

Bayesian Statistics: Analysis of Health Data | DataScience+

    https://datascienceplus.com/bayesian-statistics-analysis-of-health-data/
    In this regard, a Bayesian regression is run, with a Bayes factor analysis indicating the highest and lowest probability regressions. bf = regressionBF (BMI ~ Insulin + Age + BloodPressure + Glucose + …

Applying Bayesian Networks to Covid-19 Diagnosis

    https://towardsdatascience.com/applying-bayesian-networks-to-covid-19-diagnosis-73b06c3418d8
    Inspired by this collective effort, in these lines we show how Bayesian Networks can be useful for decision makers to make sense out of complex information …

Using Bayesian networks to analyze expression data

    https://pubmed.ncbi.nlm.nih.gov/11108481/
    A Bayesian network is a graph-based model of joint multivariate probability distributions that captures properties of conditional independence between variables. Such models are …

Using Bayesian Networks to Analyze Medical Data

    https://www.researchgate.net/publication/221506480_Using_Bayesian_Networks_to_Analyze_Medical_Data
    Bayesian Networks were employed to analyze routinely collected public-hospital administrative data. The results illustrate that the teaching-hospitals with SCUs, …



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