DocumentCode :
2493200
Title :
Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models
Author :
Lisboa, Paulo J G ; Fernandes, Ana S. ; Fonseca, José M. ; Bajdik, Chris ; Biganzoli, Elia
Author_Institution :
Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool, UK
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
Pharmaceutical companies face twin pressures of improving the throughput of new products and responding to increased requirements by regulatory bodies for risk evaluation and mitigation both pre- and post-marketing. This paper gives a brief overview of flexible outcome models to improve the accuracy of these studies. The focus is on the discovery of niche populations in secondary analysis and monitoring of adverse events in observational studies of new products. Analytical results illustrate the power of the methods and they can be mapped onto Boolean filters to represent populations with particular benefit/risk ratios.
Keywords :
Boolean algebra; drugs; patient treatment; risk analysis; Boolean filters; adverse events; benefit-risk ratio; drug therapy; flexible outcome models; niche populations; outcome analysis; secondary analysis; Analytical models; Biological system modeling; Breast cancer; Data models; Hazards; Indexes; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
ISSN :
1098-7576
Print_ISBN :
978-1-4244-6916-1
Type :
conf
DOI :
10.1109/IJCNN.2010.5596689
Filename :
5596689
Link To Document :
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