Intelligent hybrid modelling towards the prognosis of abdominal pain
Author:
Affiliation:
1. Medical Informatics Laboratory, Democritus University of Thrace, 68100, Greece
2. Lab of Forest Informatics, Democritus University of Thrace, Pandazidou 193 str, Orestias, PC 68200, Greece
Publisher
IOS Press
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. AppendicitisScan Tool: A New Tool for the Efficient Classification of Childhood Abdominal Pain Clinical Cases Using Machine Learning Tools;Engineering Applications of Neural Networks;2013
2. Combined Classification of Risk Factors for Appendicitis Prediction in Childhood;Engineering Applications of Neural Networks;2013
3. A fast and adaptive automated disease diagnosis method with an innovative neural network model;Neural Networks;2012-09
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