Abstract
The weather disease Prediction is a complex process. In order to improve the accuracy of the forecast process, the paper proposed a sort of forecast model based on the cognitive map. The cognitive map has the intuitive information expression and reasoning ability. It is often used to complex system modeling. In this paper, we built the cognitive map to show the impact of the weather factors on various diseases by training. We selected some weather factors and the treatment records of the disease cases as the sample. The research shows that this model has good prediction effect and can provide the scientific decision-making basis for preventing and controlling the occurrence of various diseases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fan, C.-Y.: A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification. Applied Soft Computing (11), 632–644 (2010)
Jiang, J., Trundle, P., Ren, J.: Medical image analysis with artificial neural networks. Computerized Medical Imaging and Graphics (11), 543–551 (2010)
Yang, Y.-p., Hu, J.-j.: Application of Fuzzy Cognitive-map in Collaborative Medical Diagnosis System. Computer Engineering and Applications (7), 218–220 (2006)
Stylios, C.D.: Fuzzy cognitive map architectures for medical decision support systems. Applied Soft Computing (8), 1243–1251 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, Y., Liu, Y. (2011). The Weather Disease Prediction Model Based on the Cognitive Map. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-23777-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
eBook Packages: EngineeringEngineering (R0)