The Optimization Variables of Input Data of Artificial Neural Networks for Diagnosing Acute Appendicitis
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منابع مشابه
The Optimization Variables of Input Data of Artificial Neural Networks for Diagnosing Acute Appendicitis
The purpose of this study is to suggest an efficient diagnosis system for acute appendicitis using the artificial neural network model with optimized input variables. Acute appendicitis is one of the most common diseases of the abdomen. However, the accuracy of diagnosis is not high even with experienced surgeons due to its complex symptoms. We used the artificial neural networks model to analy...
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BACKGROUND Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field. OBJECTIVE The aim of this research was to propose an appendicitis diagnosis system using artificial neural networks (ANNs). METHODS Data from 801 patients of the university hospital in Dongguk were used to construct artificial neural networks for diagnosing appendicitis ...
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Comparison of the Experimental and Predicted Data for Thermal Conductivity of Fe3O4/water Nanofluid Using Artificial Neural Networks
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ژورنال
عنوان ژورنال: Applied Mathematics & Information Sciences
سال: 2014
ISSN: 1935-0090,2325-0399
DOI: 10.12785/amis/080142