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Automated Feature Selection from Medical Literature
Alberto Purpura1, Tobia Boschi1, Francesca Bonin1
1IBM Research Europe - Dublin.
Studies in Health Technology and Informatics
|January 25, 2024
Abstract:
We propose an automated approach to rank the most salient variables related to a certain clinical phenomenon from scientific literature. Our solution is an automated approach to improve the efficiency of the collection of different health-related measures from a population, and to accelerate the discovery of novel associations and dependencies between health-related concepts.

