Improving breast cancer survival analysis through competition-based multidimensional modeling.

ABSTRACT: Breast cancer is the most common malignancy in women and is responsible for hundreds of thousands of deaths annually. As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on its molecular and phenotypic features is one avenue for improving treatment by matching the proper treatment with molecular subtypes of the disease. In this work, we employed a competition-based approach to modeling breast cancer prognosis using large datasets containing genomic and clinical information and an online real-time leaderboard program used to speed feedback to the modeling team and to encourage each modeler to work towards achieving a higher ranked submission. We find that machine l

SUBMITTER: Bilal E 

PROVIDER: S-EPMC3649990 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature