Combining data and meta-analysis to build Bayesian networks for clinical decision support
We focus on complex clinical problems where data is available in small amounts. Our methodology compensates for the lack of data by using published evidence. It combines multivariate data with univariate meta-analysis to build BN models. The method is illustrated by a medical case study on trauma care. Our method outperformed data-driven techniques and MESS model in the case study.
meta-analysis bayesian networks clinical decision support evidence-based medicine evidence synthesis