乙型肝炎感染监测

数据集获取

源站：https://clinicaltrials.gov/study/NCT07727187

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Chronic Hepatitis B Infection. France is a low-endemicity country for hepatitis B virus (HBV) infection. In 2016, the prevalence of chronic HBV infection in the general population was estimated at 0.3%, corresponding to more than 135,000 HBsAg-positive individuals, of whom 82% were unaware of their infection. Data on hepatitis D virus (HDV) infection remain limited; however, available studies suggest a prevalence of 6% to 10% among HBsAg-positive individuals. Despite current guideline recommendations, up to 35% of newly diagnosed HBsAg-positive patients between 2018 and 2022 were not screened for HDV infection. The World Health Organization (WHO) targets for 2030 include a 90% reduction in the incidence of chronic viral hepatitis, a 65% reduction in hepatitis-related mortality, and treatment coverage for 80% of eligible diagnosed individuals. Achieving these goals will require strengthening HBV and HDV screening strategies and improving linkage to care and retention throughout the care cascade. Objectives: The primary objective is to assess the severity of liver disease, including significant fibrosis (≥F2) and cirrhosis (F4), among adults newly diagnosed with chronic HBV infection (with or without HDV infection) at Expert/Reference Hepatology Centers and Hepatology or Infectious Diseases Departments. The secondary objectives are to: 1. Describe demographic and virological characteristics of HBsAg-positive patients; 2. Determine the proportion of patients eligible for HBV treatment and evaluate treatment response at 6 and 12 months; 3. Assess the utility of novel virological markers for classifying patients according to phases of chronic HBV infection; 4. Evaluate HBsAg thresholds, in combination with other markers, for distinguishing HBeAg-negative chronic infection from HBeAg-negative chronic hepatitis; 5. Compare clinical and virological characteristics of HBV-monoinfected and HBV/HDV-coinfected patients; 6. Identify molecular signatures associated with liver disease severity; 7. Compare findi

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。