I need to build an experimental neural network which can predict the best treatment for patients, based on histological and pathological data. (most of them are normalized to 0-1 values)
For the training I have data on how long the patients lived without tumor growth after the treatment. (~effectivity)
The outputs of the network should be the different type of treatments.
So i have imputs as patient data, outputs as the treatments and the effectiveness of these random pairs(patient data + treatment) How can I create a neural network for this?