S2_Data_TSCC数据集
包含346例耐多药结核病患者数据的回顾性随访研究数据集,用于分析痰培养转阴时间、治疗结果及相关因素。

基本信息
资源简介
S2_Data_TSCC数据集
【数据集背景】
本数据集源站标题为《S2_Data_TSCC.xlsx》。源站首次发布:2025-11-19。
【数据内容】
源站原始描述:Background: Time to sputum culture conversion is critical for follow-up treatment effectiveness in multidrug-resistant tuberculosis patients. However, the evidence regarding time to culture conversion, treatment outcomes, and the associated factors was sparse and inconsistent. Objective: This study aimed to determine the time to culture conversion, treatment outcomes, and associated factors among multidrug-resistant tuberculosis cases in the Sidama Region from April 1 to December 31, 2024. Metho…
【数据结构与技术规格】
文件数 1 个,合计 27.61 KB。S2_Data_TSCC.xlsx.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,27.61 KB。数据集 DOI:10.6084/m9.figshare.30655226.v1。
【主题与分类】
源站学科分类:Epidemiological modelling。主题标签:MDR-TB, culture reversion, loss to follow-up。
【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://figshare.com/articles/dataset/S2_Data_TSCC_xlsx/30655226
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Geda, Wolde (2025). S2_Data_TSCC.xlsx. figshare. Dataset
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:S2_Data_TSCC.xlsx
- DOI:10.6084/m9.figshare.30655226.v1
- 发布日期:2025-11-19
- 文件数:1 个
- 文件总体积:27.61 KB
- 源站页面:https://figshare.com/articles/dataset/S2_Data_TSCC_xlsx/30655226
命令行下载
curl -L -o "S2_Data_TSCC.xlsx.xlsx" "https://ndownloader.figshare.com/files/59679788"
文件清单
S2_Data_TSCC.xlsx.xlsx(27.61 KB)
文件总体积 27.61 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
Background: Time to sputum culture conversion is critical for follow-up treatment effectiveness in multidrug-resistant tuberculosis patients. However, the evidence regarding time to culture conversion, treatment outcomes, and the associated factors was sparse and inconsistent. Objective: This study aimed to determine the time to culture conversion, treatment outcomes, and associated factors among multidrug-resistant tuberculosis cases in the Sidama Region from April 1 to December 31, 2024. Methods: We conducted a retrospective follow-up study on 346 patients who enrolled from January 2013 to June 2024. The researchers collected data from patients’’ medical records using a standardized form, entered the data, and analyzed it using SPSS 21 and Stata 16.1 software. The researchers performed the analysis using the Kaplan-Meier model for time to culture conversion, Weibull distribution gamma frailty, and logistic regression models to assess factors associated with time to culture conversion and treatment outcomes, respectively. We considered an adjusted hazard or odds ratio with a 95% CI and a P-value We obtained ethical approval for this study from Hawassa University’s Institutional Review Board (IRB) and a support letter from the Sidama Regional Public Health Institute. We submitted the ethical clearance documents to Yirgalem Hospital. Because the study was retrospective, we could not obtain individual patient consent. Instead, we obtained written informed consent from the director of the Yirgalem MDR-TB treatment initiation center to access and extract data from medical records. We also discussed the study’s purpose and benefits with the treatment center staff to ensure transparency. We de-identified all data, stored them securely in locked cabinets, and protected the database with passwords to maintain patient confidentiality. We conducted the study in accordance with the 1964 Declaration of Helsinki.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.30655226.v1(source: https://figshare.com/articles/dataset/S2_Data_TSCC_xlsx/30655226)。
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。
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