Constraint based temporal event sequence mining for Glioblastoma survival prediction
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- 作者：Kunal Malhotraa ; Shamkant B. Navathea ; Duen Horng Chaua ; Costas Hadjipanayisb ; c ; Jimeng Suna ; jsun@cc.gatech.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Graph mining ; Predictive model ; Sequential pattern mining ; Classification ; Treatment patterns ; Glioblastoma
- 刊名：Journal of Biomedical Informatics
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：61
- 期：Complete
- 页码：267-275
- 全文大小：1074 K
文摘
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A novel constraint-based event sequence mining algorithm to extract temporal treatment patterns.
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An integrated predictive model that involves clinic, genomic and temporal treatment patterns on Glioblastoma patients.
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Accurate prediction (c-statistic 0.85) obtained and clinically meaningful predictive features identified.