登录后查看消息通知
搜索
常见问题
消息
登录
首页
/
数据集
/
Candidate variables for predicting post-discharge mortality.
Candidate variables for predicting post-discharge mortality.
收藏
Figshare
2024-05-22 更新
2026-04-28 收录
临床预后预测
出院后死亡率
数据链接:
https://figshare.com/articles/dataset/Candidate_variables_for_predicting_post-discharge_mortality_/25882125
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:
Candidate variables for predicting post-discharge mortality.
应用场景:
创建时间:
2024-05-22
相关数据集
Predictors of 6-Month Mortality among Nursing Home Residents: Diagnoses May be More Predictive than Functional Disability
临床预后预测
健康护理
To access this dataset, go to https://doi.org/10.13021/orc2020/KATD82
DataCite Commons
2025-03-18 更新
9
0
Multivariate Cox proportional hazards analysis for 28-day all-cause mortality (Model 2).
生存分析
临床预后预测
Multivariate Cox proportional hazards analysis for 28-day all-cause mortality (Model 2).
Figshare
2016-02-23 更新
3
0
Additional file 7 of A risk model of gene signatures for predicting platinum response and survival in ovarian cancer
肿瘤基因组学
临床预后预测
Additional file 7.
Figshare
2024-02-09 更新
1
0
The Surprise Study dataset
临床预后预测
姑息治疗评估
An international comparison of the Surprise Question
NIAID Data Ecosystem
5
0
Accuracy of WARS computed from 10 risk variables for predicting 72-hour mortality.
临床预后预测
急性死亡率风险评估
Accuracy of WARS computed from 10 risk variables for predicting 72-hour mortality.
Figshare
2021-02-19 更新
2
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