细胞分离疗法后溃疡性结肠炎患者长期预后的计算机辅助预测

数据集获取（Figshare）

• 源站标题：Computer-Aided Prediction of Long-Term Prognosis of Patients with Ulcerative Colitis after Cytoapheresis Therapy
• DOI：10.1371/journal.pone.0131197
• 发布日期：2015-06-25
• 文件数：2 个
• 文件总体积：29.10 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Computer_Aided_Prediction_of_Long_Term_Prognosis_of_Patients_with_Ulcerative_Colitis_after_Cytoapheresis_Therapy_/1463629

命令行下载

curl -L -o "S1_Table.docx" "https://ndownloader.figshare.com/files/2148805"
curl -L -o "S2_Table.docx" "https://ndownloader.figshare.com/files/2148806"

文件清单

• S1_Table.docx（14.56 KB）
• S2_Table.docx（14.53 KB）

文件总体积 29.10 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

Cytoapheresis (CAP) therapy is widely used in ulcerative colitis (UC) patients with moderate to severe activity in Japan. The aim of this study is to predict the need of operation after CAP therapy of UC patients on an individual level using an artificial neural network system (ANN). Ninety UC patients with moderate to severe activity were treated with CAP. Data on the patients’ demographics, medication, clinical activity index (CAI) and efficacy of CAP were collected. Clinical data were divided into training data group and validation data group and analyzed using ANN to predict individual outcomes. The sensitivity and specificity of predictive expression by ANN were 0.96 and 0.97, respectively. Events of admission, operation, and use of immunomodulator, and efficacy of CAP were significantly correlated to the outcome. Requirement of operation after CAP therapy was successfully predicted by using ANN. This newly established ANN strategy would be used as powerful support of physicians in the clinical practice.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0131197（source: https://plos.figshare.com/articles/dataset/_Computer_Aided_Prediction_of_Long_Term_Prognosis_of_Patients_with_Ulcerative_Colitis_after_Cytoapheresis_Therapy_/1463629）。