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Interpretability of polypharmacy deep-learning models

Published onJun 08, 2021
Interpretability of polypharmacy deep-learning models
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Abstract

Despite the successes of deep learning algorithms, they suffer from a fundamental issue called the “Black Box” (BB) effect. This effect is due to the lack of interpretability of the model and of explainability of the predicted results. The aim of my work is to propose solutions to this issue in the context of polypharmacy AI solutions.

Article ID: 2021G02

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/l6fhs2fp/

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