A method and system of determining influence of attributes in Recurrent Neural Networks (RNN) trained on therapy prediction is provided. For each output neuron zkl a relevance score Rkl is decomposed into decomposed relevance scores Rk→jl for each component xjl of an input vector x1 and all decomposed relevance scores Rk→jl of the present step l are combined to a relevance score Rjl for the next step l−1.
DETERMINING INFLUENCE OF ATTRIBUTES IN RECURRENT NEURAL NET-WORKS TRAINED ON THERAPY PREDICTION