The effect of regularization on drug-reaction relationships

M Mammadov; Lei Zhao; J Zhang

doi:10.1080/02331934.2011.641547

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The effect of regularization on drug-reaction relationships

Journal article

Open access

Peer reviewed

The effect of regularization on drug-reaction relationships

M Mammadov, Lei Zhao and J Zhang

Optimization: a journal of mathematical programming and operations research, Vol.61(4), pp.405-422

Mini-EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, 24th (Izmir, Turkey, 23-Jun-2010–26-Jun-2010)

2012

DOI: https://doi.org/10.1080/02331934.2011.641547

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Abstract

optimization

adverse drug reaction

data classification

regularization method

ill-posed problem

The least-squares method is a standard approach used in data fitting that has important applications in many areas in science and engineering including many finance problems. In the case when the problem under consideration involves large-scale sparse matrices regularization methods are used to obtain more stable solutions by relaxing the data fitting. In this article, a new regularization algorithm is introduced based on the Karush-Kuhn-Tucker conditions and the Fisher-Burmeister function. The Newton method is used for solving corresponding systems of equations. The advantages of the proposed method has been demonstrated in the establishment of drug-reaction relationships based on the Australian Adverse Drug Reaction Advisory Committee database.

Details

Title: The effect of regularization on drug-reaction relationships
Authors: M Mammadov (Author) - University of Ballarat
Lei Zhao (Author) - University of Ballarat
J Zhang (Author) - Shanghai University, China
Publication details: Optimization: a journal of mathematical programming and operations research, Vol.61(4), pp.405-422
Conference details: Mini-EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, 24th (Izmir, Turkey, 23-Jun-2010–26-Jun-2010)
Publisher: Taylor & Francis Ltd.
Date published: 2012
DOI: 10.1080/02331934.2011.641547
ISSN: 0233-1934; 0233-1934
Copyright note: Copyright © 2012 Taylor & Francis. This is an electronic version of an article published in M. Mammadov , L. Zhao & J. Zhang (2012) The effect of regularization on drug-reaction relationships, Optimization: A Journal of Mathematical Programming and Operations Research, 61:4, 405-422, DOI: 10.1080/02331934.2011.641547. A Journal of Mathematical Programming and Operations Research is available online at: www.tandfonline.com with the open URL of your article (http://www.tandfonline.com/openurl?genre=article&issn=0233- 1934&volume=61&issue=4&spage=405).
Organisation Unit: Insights & Analytics Unit; University of the Sunshine Coast, Queensland; Office of Research
Language: English
Record Identifier: 99450215502621
Output Type: Journal article
Research Statement: false

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Mathematics, Applied; Operations Research & Management Science