علي پايجو

Diabetes is one of the most common chronic diseases worldwide, which, if not diagnosed and managed pro‎mp‎tly, can lead to serious and life-threatening complications. With the advancement of modern technologies in the field of machine learning, particularly artificial neural networks, the possibility of faster and more accurate diagnosis of this disease has been made available. In this research, a method for diabetes diagnosis using artificial neural networks is presented, aiming to improve the accuracy and efficiency in predicting the disease. This study demonstrates that neural networks can play a significant and effective role in enhancing the diabetes diagnosis process and can be utilized as a powerful tool in intelligent medical systems.

ديابت , شبكه عصبي , آموزش شبكه عصبي , طبقه بندي داده

Diabetes , Neural Network , Neural Network Training , Data Classification

ali payjo

javad vahidi / mahboubeh molavi arabshahi