It views problems in terms of inputs, outputs and weights of variables or ‘features’ that associate inputs with outputs.
A more complex form of machine learning is the neural network – a technology that has been available since the 1960s has been well established in healthcare research for several decades 3 and has been used for categorisation applications like determining whether a patient will acquire a particular disease. It views problems in terms of inputs, outputs and weights of variables or ‘features’ that associate inputs with outputs. It has been likened to the way that neurons process signals, but the analogy to the brain's function is relatively weak.