Multilayer Perceptron Neural Network with supervised training method for diagnosis and predicting blood disorder and cancer
作者： Mohsen Hayati , Mehrdad Payandeh , Vahid Aeinfar , Hoorieh Mazdarani , Fatemeh Deregeh
DOI: 10.1109/ISIE.2009.5213591
关键词:
摘要: This paper represents a novel use of artificial neural networks in medical science. The proposed technique involves training an MLP with BP learning algorithm to recognize the pattern diagnosing and predicting five blood disorders, through results tests. test parameters diagnosis physician about diseases for 450 cases patients from Taleghani hospital Kermanshah, Iran, are used supervised method update network parameters. was implemented diagnose these disorder cancer: Megaloblastic Anaemia, Thalassemia, Idiopathic thrombocytopenic pupura (ITP), chronic myelogenous leukemia Lymphoproliferative.
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