登录后查看消息通知
搜索
常见问题
消息
登录
首页
/
数据集
/
Important association rules to predict high-risk individuals for CVD.
Important association rules to predict high-risk individuals for CVD.
收藏
Figshare
2025-10-07 更新
2026-04-28 收录
血管疾病风险预测
关联规则挖掘
数据链接:
https://figshare.com/articles/dataset/Important_association_rules_to_predict_high-risk_individuals_for_CVD_/30298621
数据链接
链接失效反馈
官方服务:
问题咨询
购买咨询
在线客服
NEW
资源简介:
Important association rules to predict high-risk individuals for CVD.
应用场景:
创建时间:
2025-10-07
相关数据集
The executing time (in Millisecond) comparison among Apriori, TDApriori and ITDApriori on T10|4D100K dataset.
关联规则挖掘
算法评估
The executing time (in Millisecond) comparison among Apriori, TDApriori and ITDApriori on T10|4D100K dataset.
NIAID Data Ecosystem
8
0
Survey on Association Rule Mining Using "APRIORI" Algorithm
关联规则挖掘
Apriori算法
Association rule is an important technique in data mining.
NIAID Data Ecosystem
5
0
Increased relative risk for cardiovascular mortality by log NT-proBNP even in the absence of relevant LVH or LVD.
血管疾病风险预测
生物标志物分析
Increased relative risk for cardiovascular mortality by log NT-proBNP even in the absence of relevant LVH or LVD.
Figshare
2016-10-12 更新
3
0
The support values of all the candidate 2-itemsets.
关联规则挖掘
频繁项集分析
The support values of all the candidate 2-itemsets.
Figshare
2018-01-20 更新
6
0
Results of the multivariate logistic regression model of CVD.
血管疾病风险预测
医学统计建模
Results of the multivariate logistic regression model of CVD.
Figshare
2024-04-16 更新
5
0
© 2023-2026 上海数据发展科技有限责任公司 版权所有
沪ICP备17003045号-15
沪公网安备31010402336585号
热门搜索
社区交流群
科研交流群
商业服务
数据资源
寻源服务
数据采集
标注服务
数据产品
代理销售
数据领域
凭证登记
数据产品
介绍推广