Direct explanations for the development and use of a multi-layer perceptron network that classifies low-back-pain patients.
Using a new method published by the first author, this article shows how direct explanations can be provided to interpret the classification of any input case by a standard multilayer perceptron (MLP) network. The method is demonstrated for a real-world MLP that classifies low-back-pain patients into three diagnostic classes. The application of the method leads to the discovery of a number of mis-diagnosed training and test cases and to the development of a more optimal low-back-pain MLP network.
Vaughn
M L
ML
Cranfield University (RMCS), Shrivenham, Swindon SN6 8LA, UK. vaughn@rmcs.cranfield.ac.uk
Cavill
S J
SJ
Taylor
S J
SJ
Foy
M A
MA
Fogg
A J
AJ
D006801:Humans; D017116:Low Back Pain / Q000145:classification*; D016571:Neural Networks, Computer