Scientific literature gives more and more importance to the stress-coping model in the framework of drug addiction. Recently, studies have highlighted resilience as a crucial element of the stress-coping model. In this work stress-coping-resilience is presented as an elective model to treat addictions. Through the use of neural networks, a Multilayer Perceptron is simulated with the aim of understanding the importance that stress-copingresilience model variables have in influencing the seriousness of addiction. Results show the correctness of the model underlining the importance of resilience factors and coping strategies in the treatment of addiction.
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