Diagnosis of gastrointestinal disorders using DIAGNET

@article{Aruna2007DiagnosisOG,
  title={Diagnosis of gastrointestinal disorders using DIAGNET},
  author={P. Aruna and N. Puviarasan and B. Palaniappan},
  journal={Expert Syst. Appl.},
  year={2007},
  volume={32},
  pages={329-335}
}
A new neural network model called DIAGNET is proposed in this paper for diagnosing gastrointestinal disorders. DIAGNET is a combination of Backpropagation neural network (BPNN) and radial basis functions neural network (RBFNN). The symptoms and signs are collected from the patients through oral interview. For the linguistic nature of patient’s inputs, an artificial domain is created and fuzzy membership values are defined. The fuzzy values are fed as inputs to the DIAGNET and trained for… CONTINUE READING