菌血症首次诊断后30天死亡率风险数据集
菌血症首次诊断后30天死亡率风险数据集,包含教育水平、合并症等多因素调整的表格数据。

基本信息
资源简介
菌血症首次诊断后30天死亡率风险数据集
【数据集背景】
本数据集源站标题为《30-day mortality risk after first time diagnosis of bacteremia according to educational level and effect of adjustment for social support, pre-existing comorbidity, substance abuse, characteristics of infection, and hospital characteristics.》。配套论文《Effect of Socioeconomic Status on Mortality after Bacteremia in Working-Age Patients. A Danish Population-Based Cohort Study》发表于 PLoS ONE(2013),DOI:10.1371/journal.pone.0070082。源站首次发布:2013-07-25。
【数据内容】
源站原始描述:aAge, sex, and nationality. bCohabitation and marital status. cComorbidities included in the Charlson comorbidity index and conditions related to substance abuse. dMicrobial agent, place of acquisition, and admitting specialty. eNumber of hospital beds, hospital volume, and medical school affiliation
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table_3.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0070082.t003。
【主题与分类】
源站学科分类:Medicine。主题标签:Clinical research design、Cohort studies、epidemiology、Observational studies、Critical care and emergency medicine、sepsis、Clinical epidemiology、Infectious disease epidemiology、Social epidemiology、Infectious diseases。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/_30_day_mortality_risk_after_first_time_diagnosis_of_bacteremia_according_to_educational_level_and_effect_of_adjustment_for_social_support_pre_existing_comorbidity_substance_abuse_characteristics_of_infection_and_hospital_characteristics_/755311
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Koch, Kristoffer; Nørgaard, Mette; Carl Schønheyder, Henrik; Wernich Thomsen, Reimar; Søgaard, Mette (2015). 30-day mortality risk after first time diagnosis of bacteremia according to educational level and effect of adjustment for social support, pre-existing comorbidity, substance abuse, character…
【使用注意】
· 源站最后修改于 2023-06-06,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:30-day mortality risk after first time diagnosis of bacteremia according to educational level and effect of adjustment for social support, pre-existing comorbidity, substance abuse, characteristics of infection, and hospital characteristics.
- DOI:10.1371/journal.pone.0070082.t003
- 发布日期:2013-07-25
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/_30_day_mortality_risk_after_first_time_diagnosis_of_bacteremia_according_to_educational_level_and_effect_of_adjustment_for_social_support_pre_existing_comorbidity_substance_abuse_characteristics_of_infection_and_hospital_characteristics_/755311
命令行下载
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/1131319"
文件清单
Table_3.xls(5.63 KB)
文件总体积 5.63 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
aAge, sex, and nationality.
bCohabitation and marital status.
cComorbidities included in the Charlson comorbidity index and conditions related to substance abuse.
dMicrobial agent, place of acquisition, and admitting specialty.
eNumber of hospital beds, hospital volume, and medical school affiliation.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0070082.t003(source: https://plos.figshare.com/articles/dataset/_30_day_mortality_risk_after_first_time_diagnosis_of_bacteremia_according_to_educational_level_and_effect_of_adjustment_for_social_support_pre_existing_comorbidity_substance_abuse_characteristics_of_infection_and_hospital_characteristics_/755311)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




