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SAT0055 Exploration of risk factors for rheumatoid arthritis using advance recursive partitioning approach
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Molano González, Nicolás
Arcos-Burgos, M.
Rojas-Villarraga, A.
Anaya, Juan-Manuel
Fecha
2014-06
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BMJ Publishing Group
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Abstract
Background A major challenge for rheumatoid arthritis (RA) research is the detection of subjects at risk. The tradeoff between complexity and interpretability is a key issue in the application of predictive models. Advance recursive partitioning (tree-based) approach (ARPA) is widely used in predictive analyses as it accounts for non-linear effects, offers fast solutions for hidden complex substructure and provides truly non-biased, statistically significant analyses of high dimensional, seemingly unrelated data.
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Keywords
rheumatoid arthritis , subjects at risk , recursive partitioning
