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https://hdl.handle.net/20.500.14279/9544| Τίτλος: | Risk assessment for primary coronary heart disease event using dynamic bayesian networks | Συγγραφείς: | Orphanou, Kalia Stassopoulou, Athena Keravnou-Papailiou, Elpida |
metadata.dc.contributor.other: | Κεραυνού Παπαηλιού, Ελπίδα | Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Dynamic Bayesian networks;Primary coronary heart disease;Risk assessment;Temporal abstraction;Temporal reasoning | Ημερομηνία Έκδοσης: | 1-Ιαν-2015 | Πηγή: | 15th Conference on Artificial Intelligence in Medicine, 2015, Pavia, Italy | DOI: | 10.1007/978-3-319-19551-3_20 | Περίληψη: | Coronary heart disease (CHD) is the leading cause of mortality worldwide. Primary prevention ofCHDdenotes limiting a firstCHDevent in individuals who have not been formally diagnosed with the disease. This paper demonstrates how the integration of a Dynamic Bayesian network (DBN) and temporal abstractions (TAs) can be used for assessing the risk of a primaryCHDevent. More specifically, we introduce basic TAs into the DBN nodes and apply the extended model to a longitudinal CHDdataset for risk assesment. The obtained results demonstrate the effectiveness of our proposed approach. | URI: | https://hdl.handle.net/20.500.14279/9544 | ISBN: | 978-331919550-6 | Rights: | © Springer International Publishing Switzerland 2015. | Type: | Conference Papers | Affiliation: | University of Cyprus University of Nicosia Cyprus University of Technology |
| Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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