CFTR调节剂药物纵向效应观察性试验

数据集获取

源站：https://clinicaltrials.gov/study/NCT04353752

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: Cystic Fibrosis. CF patients enrolled in this protocol will be recruited from patients followed by the Adult CF Program at National Jewish Health. Patients will be selected based on planned use of a CFTR modulator by their primary physician. No patient will be started on (or will switch) CFTR modulator agents for the purpose of the study. After enrollment, biological samples may be collected at two different time points prior to treatment initiation. One set of samples will be collected at baseline health prior to CFTR modulator initiation or change. A second set of samples will be obtained in subjects at the time of acute pulmonary exacerbation, if one occurs prior to CFTR modulator initiation or change. Post CFTR modulator initiation study assessments will be obtained at least one month after starting treatment and continue up to 2 times a year (including during pulmonary exacerbations), in order to document longitudinal effects of therapies and changes in inflammatory biology over time. At the time of each biological sampling, blood, sputum sample, urine, and a quality of life assessment will be acquired in all enrolled subjects. In addition to demographic data, clinical data, such as quantitative microbiology and simple spirometry will be recorded at the time of sample collection.

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。