Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysm
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- 作者：Ana Monsalve-Torraa ; Daniel Ruiz-Fernandezb ; druiz@dtic.ua.es" class="auth_mail" title="E-mail the corresponding author ; Oscar Marin-Alonsoa ; Antonio Soriano-Payá ; b ; Jaime Camacho-Mackenziec ; Marisol Carreñ ; o-Jaimesc
- 关键词：Machine learning ; Mortality prediction ; Abdominal aortic aneurysm ; Clinical decision support system ; Data analysis
- 刊名：Journal of Biomedical Informatics
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：62
- 期：Complete
- 页码：195-201
- 全文大小：615 K
文摘
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Machine learning is used for predicting inhospital mortality in patients with AAA.
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The methods tested provided an accuracy higher than 95%.
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The best results were obtained with Bayesian networks.
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Using feature selection and combining several methods improved the results.