In this paper, a new approach based on Coactive Neuro-Fuzzy Inference System (CANFIS) is presented for detection of erythemato-squamous diseases. The domain contained records of patients with 34 features and known diagnosis of six disease indications. Given a training set of such records, the CANFIS classifiers learned how to differentiate a new case in the domain that may be difficult even for experienced doctors to make correct diagnosis because many symptoms look very similar to each other, even though they are caused by different diseases. The proposed CANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach which is then integrated with genetic algorithm. The performances of the CANFIS model were evaluated in terms of training performances and classification accuracies and the results showed that the proposed CANFIS model has great potential in detecting the erythemato-squamous diseases.