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Diabetes mellitus is one of the chronic disease asrecent estimation in 2015 shows 415 million people sufferingfrom diabetes worldwide and estimated to have deaths of 1.5 to 5 million each year. It is very important to forecast tool whichcan be used to determine whether someone has diabetes or not. There are some methods which produce accurate predictionand Artificial neural network using Back propagation...
In 2010, Global Status Report on NCD World Health Organization (WHO) reported that 60 percent of deaths in the world caused by the non-communicable diseases, and one of the non-communicable diseases that consumed a lot of attention was diabetes mellitus. Diabetes is a serious threat to the health development, because diabetes is a disease that caused most other diseases (complications), such as blindness,...
The Chinese Naoshekang Recipe (CNR) extract used to treat diabetes is a traditional Chinese prescription composed of 9 crude drugs: Astragalus Membranaceus, Prepared Rehmannia Root, Solomonseal Rhizome, Szechwan Lovage Rhizome, Barbary Wolfberry Fruit, Epimedium Leaf, Atractylodes Lancea, Kudzuvine Root, and Coptis chinensis Franch. In our previous study, the CNR and its constitutive extracts showed...
A method provides for the design of Fast Haar wavelet with the supervised neural network for diagnosis of diabetes mellitus with nearer accuracy with in short time application non-invasively is proposed. Our proposed work consists of two parts. First, analysis bank of haar wavelet is modified by using polyphase structure. Second, supervised back propagation neural network in the diagnosis of diabetes...
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