伊达比星、阿糖胞苷与普伐他汀钠治疗急性髓系白血病或骨髓增生异常综合征

数据集获取

源站：https://clinicaltrials.gov/study/NCT01831232

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: Adult Acute Megakaryoblastic Leukemia (M7), Adult Acute Minimally Differentiated Myeloid Leukemia (M0), Adult Acute Monoblastic Leukemia (M5a), Adult Acute Monocytic Leukemia (M5b), Adult Acute Myeloblastic Leukemia With Maturation (M2), Adult Acute Myeloblastic Leukemia Without Maturation (M1), Adult Acute Myeloid Leukemia With 11q23 (MLL) Abnormalities, Adult Acute Myeloid Leukemia With Del(5q). PRIMARY OBJECTIVES: I. To assess the rate of achieving a “good complete response (CR)” after treating patients with newly diagnosed acute myeloid leukemia (AML) with idarubicin, cytarabine and pravastatin (pravastatin sodium) (IAP). II. To determine the toxicity (death within 28 days of starting therapy = treatment related mortality or “TRM”) with IAP in newly-diagnosed AML. SECONDARY OBJECTIVES: I. To determine rates of complete remission (CR), remission with incomplete blood count recovery (CRi), partial remission (PR), relapse-free survival and overall survival. II. To identify biomarkers (ie. changes in serum cholesterol) associated with clinical responses. OUTLINE: Patients receive pravastatin sodium orally (PO) once daily (QD) on days 1-8, idarubicin intravenously (IV) over 10-15 minutes on days 4-6, and cytarabine IV continuously on days 4-7. Treatment repeats every 28-56 days for up to 4 courses in the absence of disease progression or unacceptable toxicity. After completion of study treatment, patients are followed up every 3 months for 2 years and then annually for 3 years.

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。