SHS Web of Conferences
Volume 6, 2014IFSRAP 2013 – The First International Forum on Studies of Rural Areas and Peasants
|Number of page(s)||6|
|Section||Public Health in Rural|
|Published online||25 April 2014|
Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor
1 Engineering and Technology College of Yangtze University, 434020 Jingzhou Hubei, China
2 Jingzhou City Second People’s Hospital, 434000 Jingzhou Hubei, China
a Corresponding author: firstname.lastname@example.org
People pay more and more attention to health with the development of society. In addition, owing to the uncertain pathological cause, more and more kinds of malignant tumor seriously affect our health. In order to reduce the economic loss and protect the safety of our life, it is necessary to forecast the occurrence of malignant tumor and make prevention countermeasures. Conventional grey model has usually been used for forecasting in disease prediction, but it has significant limitations. Improved grey forecasting model in malignant tumor is established based on interpolation optimization. The result of the analysis shows that the accuracy of improved grey model is significant higher than conventional model, so the improved grey model can be used for forecasting in malignant tumor. It can extend to other disease prediction.
Key words: grey forecasting model / interpolation optimization / malignant tumor / prevention countermeasures
© Owned by the authors, published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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