Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network
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- 作者：Panayiotis Petousisa ; b ; pp89@ucla.edu" class="auth_mail" title="E-mail the corresponding author ; Simon X. Hana ; b ; Denise Aberlea ; b ; Alex A.T. Buia ; b
- 关键词：Dynamic Bayesian networks ; Structure learning ; Expert-driven networks ; Lung stage cancer state-space ; Individualized lung cancer screening ; Cancer incidence ; Annual NLST cancer risk
- 刊名：Artificial Intelligence in Medicine
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：72
- 期：Complete
- 页码：42-55
- 全文大小：2971 K
文摘
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Dynamic Bayesian Network (DBN) built using a lung cancer staging state-space model.
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Use of resampling techniques to address data imbalance.
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Results are comparable to experts’ decisions.
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Similar structure and performance between learned and expert-derived DBNs.