A PROBABILISTIC MODEL FOR COPD DIAGNOSIS AND PHENOTYPING USING BAYESIAN NETWORKS

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SHAHMORADI LEILA; OLWENDO AMOS OTIENO; ARAB ALIBEIK HUSSEIN; AGIN KHOSROW; SETAREH SOUGAND

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Paper Information

Journal: JOURNAL OF COMMUNITY HEALTH RESEARCH Year:2017 | Volume:6 | Issue:1 Page(s): 34-43

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Title

A PROBABILISTIC MODEL FOR COPD DIAGNOSIS AND PHENOTYPING USING BAYESIAN NETWORKS

Author(s)

Keywords

BAYESIAN NETWORKS

COPD DIAGNOSIS

COPD PHENOTYPES

NOISY-OR CPD

Abstract

Introduction: This research was meant to provide a model for COPD DIAGNOSIS and to classify the cases into phenotypes; General COPD, Chronic bronchitis, Emphysema, and the Asthmatic COPD using a Bayesian Network (BN).Methods: The model was constructed through developing the Bayesian Network structure and instantiating the parameters for each of the variables. In order to validate the achieved results, the same data set was applied to a neural network application using the Levenberge- Marquardt algorithm. Furthermore, a card Diag, a C++ application that enables graphical classification of COPD into phenotypes and depicts the relationships of COPD PHENOTYPES was developed.Results: The results showed that a Bayesian Network can be successfully applied to develop a probabilistic model for diagnosis and classification of COPD cases into the corresponding phenotypes.Conclusions: A model that classifies COPD cases into phenotypes of general COPD, Chronic bronchitis, Emphysema, and Asthmatic COPD was successfully developed. Moreover, the achieved results also helped to represent graphical representations of COPD PHENOTYPES and explained how the phenotypes relate to each other. It was also observed that COPD is mostly associated with people aged 40 years or older. Overall, smoking is the major cause of COPD.

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APA: Copy

SHAHMORADI, LEILA, OLWENDO, AMOS OTIENO, ARAB ALIBEIK, HUSSEIN, AGIN, KHOSROW, & SETAREH, SOUGAND. (2017). A PROBABILISTIC MODEL FOR COPD DIAGNOSIS AND PHENOTYPING USING BAYESIAN NETWORKS. JOURNAL OF COMMUNITY HEALTH RESEARCH, 6(1), 34-43. SID. https://sid.ir/paper/344277/en

Vancouver: Copy

SHAHMORADI LEILA, OLWENDO AMOS OTIENO, ARAB ALIBEIK HUSSEIN, AGIN KHOSROW, SETAREH SOUGAND. A PROBABILISTIC MODEL FOR COPD DIAGNOSIS AND PHENOTYPING USING BAYESIAN NETWORKS. JOURNAL OF COMMUNITY HEALTH RESEARCH[Internet]. 2017;6(1):34-43. Available from: https://sid.ir/paper/344277/en

IEEE: Copy

LEILA SHAHMORADI, AMOS OTIENO OLWENDO, HUSSEIN ARAB ALIBEIK, KHOSROW AGIN, and SOUGAND SETAREH, “A PROBABILISTIC MODEL FOR COPD DIAGNOSIS AND PHENOTYPING USING BAYESIAN NETWORKS,” JOURNAL OF COMMUNITY HEALTH RESEARCH, vol. 6, no. 1, pp. 34–43, 2017, [Online]. Available: https://sid.ir/paper/344277/en

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