Dynamic Fuzzy-Neural based tool formonitoring and predicting patients conditions using selected vital signs

@article{Schatz2015DynamicFB,
  title={Dynamic Fuzzy-Neural based tool formonitoring and predicting patients conditions using selected vital signs},
  author={Cecilia H. Vallejos de Schatz and F{\'a}bio K. Schneider and Paulo Jos{\'e} Abatti and J{\'u}lio C. Nievola},
  journal={Journal of Intelligent and Fuzzy Systems},
  year={2015},
  volume={28},
  pages={2579-2590}
}
Prediction of physiological vital signs allow early detection of abnormal conditions in chronic or elderly patients. In this paper, an artificial intelligent tool is proposed using fuzzy logic and recurrent neural networks for definition and forecast of patient’s clinical condition by using five clinical parameters. For this purpose, a fuzzy model and six artificial neural networks were tested and compared. The fuzzy logic-based proposed first phase of the tool permits the analysis of the… CONTINUE READING