Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics
by Théophile Berteloot
Published onJun 08, 2021
Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics
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Abstract
This project is part of a larger research program looking to define, detect and predict dangerous polypharmacy cases, or situations where the prescription of multiple medications has unexpected negative consequences. The main objective of this project is to find interesting association rules between combinations of drugs and health outcomes.
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