人口统计学和临床特征与临床结果的双变量关联(N=1425)
1425名患者的临床特征与糖尿病结局的双变量关联表格数据。

基本信息
资源简介
人口统计学和临床特征与临床结果的双变量关联(N=1425)
【数据集背景】
本数据集源站标题为《Bivariate Associations between Demographic and Clinical Characteristics and Clinical Outcomes N = 1425.》。配套论文《Exploring the Impact of Language Services on Utilization and Clinical Outcomes for Diabetics》发表于 PLoS ONE(2012),DOI:10.1371/journal.pone.0038507。源站首次发布:2013-02-20。
【数据内容】
源站原始描述:Abbreviations: P = P-values determined from Chi-square/Fisher''s Exact test * Some patients had no documented Hemoglobin A1c levels. Number and (Percent) of Sample Experiencing Each Outcome: Hospitalization related to Diabetes = 87 (6.1%); Emergency Visits related to Diabetes = 98 (6.9%); Emergency Visits not related to Diabetes = 103 (7.2%); Hospitalizations and/or Emergency Visits Related to Diabetes = 164 (11.5%); Hemoglobin A1c ≥9.0 = 284 (19.9%)
【数据结构与技术规格】
文件数 1 个,合计 22.02 KB。Table_3.xls:application/vnd.ms-excel,22.02 KB。数据集 DOI:10.1371/journal.pone.0038507.t003。
【主题与分类】
源站学科分类:Medicine、Biotechnology。主题标签:associations、characteristics、outcomes。
【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/_Bivariate_Associations_between_Demographic_and_Clinical_Characteristics_and_Clinical_Outcomes_N_8202_8202_1425_/300816
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Hacker, Karen; Susan Choi, Yoon; Trebino, Lisa; Hicks, LeRoi; Friedman, Elisa; Blanchfield, Bonnie; et al. (2015). Bivariate Associations between Demographic and Clinical Characteristics and Clinical Outcomes N = 1425.. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,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:Bivariate Associations between Demographic and Clinical Characteristics and Clinical Outcomes N = 1425.
- DOI:10.1371/journal.pone.0038507.t003
- 发布日期:2013-02-20
- 文件数:1 个
- 文件总体积:22.02 KB
- 源站页面:https://plos.figshare.com/articles/dataset/_Bivariate_Associations_between_Demographic_and_Clinical_Characteristics_and_Clinical_Outcomes_N_8202_8202_1425_/300816
命令行下载
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/630334"
文件清单
Table_3.xls(22.02 KB)
文件总体积 22.02 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
Abbreviations: P = P-values determined from Chi-square/Fisher’'s Exact test * Some patients had no documented Hemoglobin A1c levels.
Number and (Percent) of Sample Experiencing Each Outcome: Hospitalization related to Diabetes = 87 (6.1%); Emergency Visits related to Diabetes = 98 (6.9%); Emergency Visits not related to Diabetes = 103 (7.2%); Hospitalizations and/or Emergency Visits Related to Diabetes = 164 (11.5%); Hemoglobin A1c ≥9.0 = 284 (19.9%).
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0038507.t003(source: https://plos.figshare.com/articles/dataset/_Bivariate_Associations_between_Demographic_and_Clinical_Characteristics_and_Clinical_Outcomes_N_8202_8202_1425_/300816)。
需要用于商业化训练或医疗器械注册(NMPA/FDA)?
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