阿司匹林降低有妊娠期高血压疾病史女性长期卒中风险的数据

数据集获取

源站：https://doi.org/10.5061/dryad.71b0hr3

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。

数据集大小约 166.2 KB。

数据说明

OBJECTIVE: To determine if hypertensive disorders of pregnancy (HDP) increased long-term stroke risk in women in the California Teachers Study (CTS), a prospective cohort study, and if aspirin or statin use modified this risk. METHODS: CTS participants aged ≤60 years at time of enrollment in 1995 were followed prospectively for validated stroke outcomes obtained via linkage with California hospital records through 12/31/2015. We calculated unadjusted and adjusted hazard ratios (HR) and 95% confidence intervals (95%CI) for the primary outcomes of (1) all stroke and (2) stroke before age 60, among those with and without history of HDP. We tested for interactions (p<0.2) and performed stratified analyses to assess risk of the primary outcomes in women with and without self-reported use of aspirin or statins. RESULTS: Of 83,749 women included in the analysis, 4070 (4.9%) had HDP. Women with prior HDP had increased risk of all stroke (adjusted HR 1.3, 95%CI 1.2-1.4) but no increased risk of stroke before age 60 (adjusted HR 1.2, 95%CI 0.9-1.7). There was an interaction (p=0.18) between aspirin use and HDP history on risk of stroke before age 60: non-aspirin users had higher risk (adjusted HR 1.5, 95%CI 1.0-2.1) while aspirin users did not (adjusted HR 0.8, 95%CI 0.4-1.7). This effect was not seen with statins. CONCLUSIONS: Controlling for comorbidities, women with prior HDP had increased long-term stroke risk, which was reduced by aspirin use. Randomized trials may be needed to assess whether long-term aspirin use could benefit selected women with a history of HDP.

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。