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...
Main Authors: | , |
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Format: | Article |
Language: | English |
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EDP Sciences
2014-04-01
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Series: | SHS Web of Conferences |
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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. |
first_indexed | 2024-12-24T00:41:27Z |
format | Article |
id | doaj.art-74c9424d06494933bcd80021b09a7daa |
institution | Directory Open Access Journal |
issn | 2261-2424 |
language | English |
last_indexed | 2024-12-24T00:41:27Z |
publishDate | 2014-04-01 |
publisher | EDP Sciences |
record_format | Article |
series | SHS Web of Conferences |
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 |