Fast and frugal trees: translating population-based pharmacogenomics to medication prioritization

Personalized Medicine
Tibor van RooijSharon Marsh

Abstract

Fast and frugal decision trees (FFTs) can simplify clinical decision making by providing a heuristic approach to contextual guidance. We wanted to use FFTs for pharmacogenomic knowledge translation at point-of-care. The Pharmacogenomics for Every Nation Initiative (PGENI), an international nonprofit organization, collects data on regional polymorphisms as a predictor of metabolism for individual drugs and dosages. We advanced FFTs to work with PGENI pharmacogenomic data to produce medication recommendations that are accurate, transparent and straightforward to automate. By streamlining medication selection processes in the PGENI workflow, information technology applications can now be deployed. We developed a decision tree approach that can translate pharmacogenomic data to provide up-to-date recommended care for populations based on their medication-specific markers.

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Citations

Jan 1, 2016·Personalized Medicine·Tibor van Rooij, Sharon Marsh

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Software Mentioned

HungryMedia
PGENI
FFTS

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