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。

Geda, WoldeGeda, Wolde
Figshare
2025-11-19 更新
浏览 23
表格耐多药结核病表格数据
S2_Data_TSCC.xlsx

基本信息

模态
表格
大小
0.000027609 GB
许可
CC BY 4.0
创建/更新时间
2025-11-19
版本
v1

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

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案