TY - JOUR
T1 - DBN-extended
T2 - A dynamic Bayesian network model extended with temporal abstractions for coronary heart disease prognosis
AU - Orphanou, Kalia
AU - Stassopoulou, Athena
AU - Keravnou, Elpida
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Dynamic Bayesian networks (DBNs) are temporal probabilistic graphical models that model temporal events and their causal and temporal dependencies. Temporal abstraction (TA) is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. In this paper, we present an extended DBN model that integrates TA methods with DBNs applied for prognosis of the risk for coronary heart disease. More specifically, we demonstrate the derivation of TAs from data, which are used for building the network structure. We use machine learning algorithms to learn the parameters of the model through data. We apply the extended model to a longitudinal medical dataset and compare its performance to the performance of a DBN implemented without TAs. The results we obtain demonstrate the predictive accuracy of our model and the effectiveness of our proposed approach.
AB - Dynamic Bayesian networks (DBNs) are temporal probabilistic graphical models that model temporal events and their causal and temporal dependencies. Temporal abstraction (TA) is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. In this paper, we present an extended DBN model that integrates TA methods with DBNs applied for prognosis of the risk for coronary heart disease. More specifically, we demonstrate the derivation of TAs from data, which are used for building the network structure. We use machine learning algorithms to learn the parameters of the model through data. We apply the extended model to a longitudinal medical dataset and compare its performance to the performance of a DBN implemented without TAs. The results we obtain demonstrate the predictive accuracy of our model and the effectiveness of our proposed approach.
KW - coronary heart disease
KW - Dynamic Bayesian networks
KW - medical prognostic models
KW - Temporal abstraction
KW - temporal reasoning
UR - http://www.scopus.com/inward/record.url?scp=84969921744&partnerID=8YFLogxK
U2 - 10.1109/JBHI.2015.2420534
DO - 10.1109/JBHI.2015.2420534
M3 - Article
AN - SCOPUS:84969921744
SN - 2168-2194
VL - 20
SP - 944
EP - 952
JO - IEEE Journal of Biomedical and Health Informatics
JF - IEEE Journal of Biomedical and Health Informatics
IS - 3
M1 - 7080845
ER -