Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor

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 foreca...

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Main Authors: Xiaofei Li, Renfang Hu
Format: Article
Language:English
Published: EDP Sciences 2014-04-01
Series:SHS Web of Conferences
Subjects:
Online Access:http://dx.doi.org/10.1051/shsconf/20140603003
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author Xiaofei Li
Renfang Hu
author_facet Xiaofei Li
Renfang Hu
author_sort Xiaofei Li
collection DOAJ
description 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.
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spelling doaj.art-74c9424d06494933bcd80021b09a7daa2022-12-21T17:23:56ZengEDP SciencesSHS Web of Conferences2261-24242014-04-0160300310.1051/shsconf/20140603003shsconf_ifsr2013_03003Grey Forecasting Model Based on Interpolation Optimization in Malignant TumorXiaofei Li0Renfang Hu1Engineering and Technology College of Yangtze UniversityJingzhou City Second People’s HospitalPeople 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.http://dx.doi.org/10.1051/shsconf/20140603003grey forecasting modelinterpolation optimizationmalignant tumorprevention countermeasures
spellingShingle Xiaofei Li
Renfang Hu
Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor
SHS Web of Conferences
grey forecasting model
interpolation optimization
malignant tumor
prevention countermeasures
title Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor
title_full Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor
title_fullStr Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor
title_full_unstemmed Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor
title_short Grey Forecasting Model Based on Interpolation Optimization in Malignant Tumor
title_sort grey forecasting model based on interpolation optimization in malignant tumor
topic grey forecasting model
interpolation optimization
malignant tumor
prevention countermeasures
url http://dx.doi.org/10.1051/shsconf/20140603003
work_keys_str_mv AT xiaofeili greyforecastingmodelbasedoninterpolationoptimizationinmalignanttumor
AT renfanghu greyforecastingmodelbasedoninterpolationoptimizationinmalignanttumor