Interpretability of polypharmacy deep-learning models
by Lynda Dib
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.
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