挖掘谷歌趋势数据用于现在预测和预测结直肠癌 (CRC) 患病率
Cristiana Tudor1, Robert Aurelian Sova1
1Bucharest University of Economic Studies, Bucharest, Romania.
PeerJ. Computer science
|October 23, 2023
概括
预计结肠直肠癌 (CRC) 的患病率将在全球范围内增加. 这项研究利用谷歌趋势数据和先进模型,预测CRC病例的增加,强调需要公共卫生干预和改善癌症统计数据.
科学领域:
- 在瘤学瘤学.
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 结肠直肠癌 (CRC) 是全球癌症死亡的主要原因.
- 准确的CRC流行预测对于资源配置和战略制定至关重要.
- 有限的全球癌症统计数据和高异质性使得CRC患病率预测变得复杂.
研究的目的:
- 为了建模,现在预测和预测全球CRC患病率.
- 为了评估谷歌趋势 (GT) 数据作为CRC幸存者数量的替代品.
- 为了确定可靠的CRC疾病患病率指标.
主要方法:
- 一个使用统计和机器学习模型的三步框架.
- 数据挖掘以评估谷歌趋势 (GT) 对CRC患病率的相关性.
- 使用在GT时间系列 (2004-2022) 上训练的ARIMA,ETS和FNNAR模型.
主要成果:
- 人口网络搜索对"结肠镜检查"的兴趣可靠地表明了CRC的患病率.
- 预计在未来24个月内,结肠直肠癌病例将增加.
- 在COVID-19大流行期间观察到CRC兴趣的显著下降.
结论:
- 迫切需要公共政策来解决可修改的CRC风险因素,如生活方式和营养.
- 公共卫生当局应该在流行病期间提高癌症查率.
- 改善癌症统计和减轻全球癌症负担是潜在的积极结果.
关键词:
在阿里马,阿里马就是阿里马.自动化算法自动化算法癌症 癌症 癌症 癌症预测 预测 预测 预测谷歌趋势是什么意思神经网络自回归神经网络自回归现在播放现在播放公共卫生 公共卫生资源分配资源的分配.国家空间国家空间.更多相关视频
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