Abstract
For the sake of building an intelligent patient-centered decision support system (PACDSS), we propose a novel approach for preparing causal knowledge from the clinical dataset by using GBN (General Bayesian Network). For this purpose, we used clinical datasets from the stem-cell therapy, and applied GBN mechanism to induce causal knowledge and implement an inference engine as a result. What-if analysis results were convincing enough to conclude that our proposed approach can secure design of an intelligent PACDSS embedded in causal knowledge.
This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2014S1A3A2038108).
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Lee, K.C., Sim, J.M., Jeon, H.G., Choi, E.Y. (2018). Exploring Patient-Oriented Healthcare Support System by Using General Bayesian Network. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-56991-8_74
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