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A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery

Reps, Jenna M.; Garibaldi, Jonathan M.; Aickelin, Uwe; Soria, Daniele; Gibson, Jack E.; Hubbard, Richard B.

Authors

Jenna M. Reps

Jonathan M. Garibaldi

Uwe Aickelin

Daniele Soria

Jack E. Gibson

Richard B. Hubbard



Journal Article Type Article
Publication Date 2014-03
Journal IEEE Journal of Biomedical and Health Informatics
Electronic ISSN 2168-2208
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 18
Issue 2
Pages 537-547
APA6 Citation Reps, J. M., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2014). A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE Journal of Biomedical and Health Informatics, 18(2), 537-547. https://doi.org/10.1109/JBHI.2013.2281505
DOI https://doi.org/10.1109/JBHI.2013.2281505
Keywords Biomedical Informatics, Data Mining
Publisher URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6595576&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6754178%29
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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