A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
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DOI：
10.1109/access.2021.3122912
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Pugh MJ
中科院分区：
文献类型：
--
作者：
Faruqui SHA;Alaeddini A;Wang J;Jaramillo CA;Pugh MJ
Bayesian networks are powerful statistical models to study the probabilistic relationships among sets of random variables with significant applications in disease modeling and prediction. Here, we propose a continuous time Bayesian network with conditional dependencies represented as regularized Poisson regressions to model the impact of exogenous variables on the conditional intensities of the network. We also propose an adaptive group regularization method with an intuitive early stopping feature based on Gaussian mixture model clustering for efficient learning of the structure and parameters of the proposed network. Using a dataset of patients with multiple chronic conditions extracted from electronic health records of the Department of Veterans Affairs, we compare the performance of the proposed network with some of the existing methods in the literature for both short-term (one-year ahead) and long-term (multi-year ahead) predictions. The proposed model provides a sparse intuitive representation of the complex functional relationships between multiple chronic conditions. It also provides the capability of analyzing multiple disease trajectories over time, given any combination of preexisting conditions.
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影响因子：
1.7
作者：
Alaeddini A;Hong SH
通讯作者：
Hong SH
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DOI：
10.1097/htr.0000000000000082
发表时间：
2016-01
期刊：
The Journal of head trauma rehabilitation
影响因子：
--
作者：
Adams RS;Larson MJ;Corrigan JD;Ritter GA;Horgan CM;Bray RM;Williams TV
通讯作者：
Williams TV
影响因子：
3
作者：
Green, Bonnie L.;Krupnick, Janice L.;Chung, Joyce
通讯作者：
Chung, Joyce
影响因子：
5.3
作者：
Arroyo-Figueroa, G;Sucar, LE
通讯作者：
Sucar, LE
影响因子：
1.7
作者：
Alaeddini, Adel;Jaramillo, Carlos A.;Pugh, Mary J.
通讯作者：
Pugh, Mary J.