FACILITATING INTERPRETABILITY OF CLASSIFICATION MODEL

FACILITATING INTERPRETABILITY OF CLASSIFICATION MODEL

A system and computer-implemented method are provided for generating a visualization of the classification uncertainty of a classification model which is applied to clinical data, wherein said visualization is provided in a lower-dimensional space which is obtained by applying a non-linear and manif...

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Hauptverfasser: PEZZOTTI, Nicola, KUSTRA, Jacek Lukasz
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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creator PEZZOTTI, Nicola
KUSTRA, Jacek Lukasz
description A system and computer-implemented method are provided for generating a visualization of the classification uncertainty of a classification model which is applied to clinical data, wherein said visualization is provided in a lower-dimensional space which is obtained by applying a non-linear and manifold preserving dimensionality reduction technique to feature vectors of the clinical data. The visualization techniques consider the classification model as a 'black box' by not being dependent on internal parameters of the classification model.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title FACILITATING INTERPRETABILITY OF CLASSIFICATION MODEL
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