Neural Networks towards Medical Diagnosis
نویسندگان
چکیده
The Neural Networks are best at identifying patterns or trends in data and they are well suited for predicting or forecasting. Hence neural networks are extensively applied to biomedical systems. An analysis is carried out to motivate neural network applications in medical diagnosis. A special note is made on neural network effort on cancer diagnosis. This paper focuses on the importance of application of neural networks in the medical world, particularly in the diagnosis of various diseases. Technical concepts like MLP, SVM, RBF, CANFIS, TLRN, PCA, SOM, and SNNS are applied for diagnosing various diseases using neural networks.
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