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This article proposes the forward only counter propagation network (FOCPN) for solving the contraceptive medical classification task. Contraceptive method choice (CMC) application is used for the medical classification and it is one of the challenging jobs in the field of the medicine. The experiments are performed on different radii of the neighbourhood and learning rate based on the size of the map. Experimental results show that FOCPN's convergence is faster and it gives the improved learning efficiency and reliable prediction performance. Also, the classification accuracy is much higher than the other models used for this purpose.