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Subgroup Discovery for Treatment Optimization

P. 48–53.
Korepanova N.

Modern medicine aspire to improve the effectiveness of treatment for some diseases through, so called, personalized medicine. However, totally personalized medicine or personalized treatment of even one disease is a very ambitious goal. Subgroup analysis of patients is a preliminary step to the total personalization. Several completely different views on the principles and usefulness of subgroup analysis for treatment personalization exist. This paper is limited to data-driven subgroup discovery, when collected data analyzed for significant treatment-biomarker interactions in post-hoc manner, and presents a brief overview of key methods for this type of subgroup analysis.

Language: English
DOI
Text on another site
Keywords: subgroup analysissubgroup discovery personalized medicine
Publication based on the results of:
Well-interpretable Methods of Knowledge Discovery and Knowledge Representation (2018)

In book

Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017)
Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017)
Issue 6. , EasyChair, 2018.
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