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Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics

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.

Article ID: 2021G01

Month: May

Year: 2021

Address: Online

Venue: Graduate Student Symposium- Canadian Conference on Artificial Intelligence

Publisher: Canadian Artificial Intelligence Association

URL:https://caiac.pubpub.org/pub/i3j1jamm/


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