@inproceedings{8ddd9190566345eb9a8842dd0cff679c,
title = "Automatic detection of vaccine adverse reactions by incorporating historical medical conditions",
abstract = "This paper extends the problem of vaccine adverse reaction detection by incorporating historical medical conditions. We propose a novel measure called dual-lift for this task, and formulate this problem in the framework of constraint pattern mining. We present a pattern mining algorithm DLiftMiner which utilizes a novel approach to upper bound the dual-lift measure for reducing the search space. Experimental results on both synthetic and real world datasets show that our method is effective and promising.",
keywords = "Adverse reaction, Constraint pattern mining, Pruning strategy, Tough constraint, Vaccine",
author = "Zhonghua Jiang and George Karypis",
year = "2011",
doi = "10.1145/2147805.2147896",
language = "English (US)",
isbn = "9781450307963",
series = "2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2011",
pages = "547--549",
booktitle = "2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2011",
note = "2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, ACM-BCB 2011 ; Conference date: 01-08-2011 Through 03-08-2011",
}