妊娠前20周肝内胆汁淤积症预测数据集

数据集获取（Figshare）

• 源站标题：Prediction of intrahepatic cholestasis of pregnancy in the first 20 weeks of pregnancy
• DOI：10.6084/m9.figshare.14897173.v1
• 发布日期：2021-07-02
• 文件数：3 个
• 文件总体积：2.79 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/Prediction_of_intrahepatic_cholestasis_of_pregnancy_in_the_first_20_weeks_of_pregnancy/14897173

命令行下载

curl -L -o "ijmf_a_1911996_sm1938.tif" "https://ndownloader.figshare.com/files/28682614"
curl -L -o "ijmf_a_1911996_sm1937.tif" "https://ndownloader.figshare.com/files/28682617"
curl -L -o "ijmf_a_1911996_sm1936.doc" "https://ndownloader.figshare.com/files/28682620"

文件清单

• ijmf_a_1911996_sm1938.tif（2.73 MB）
• ijmf_a_1911996_sm1937.tif（35.14 KB）
• ijmf_a_1911996_sm1936.doc（19.72 KB）

文件总体积 2.79 MB（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

Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disease associated with a significant risk of fetal complications including pre-term delivery and fetal death. Typically, it was diagnosed in the third trimester of pregnancy. This study utilized characteristics from routine maternal examinations in the first 20 weeks’ gestation to predict ICP in pregnant women.
This is a retrospective case-control study. 13,329 medical records were collected on pregnant women presenting to the West China Second University Hospital between December 2017 and December 2018. After screening according to strict criteria, a total of 487 patients, 250 intrahepatic cholestasis of pregnancy cases, and 237 controls were selected for this study. We collected seven maternal characteristics indices for analysis and forty-three routine blood examination indices were obtained from routine hepatic, renal, and coagulation function examinations. The least absolute shrinkage and selection operator regression was applied for variable selection. Classification and regression trees, logistic regression, random forests, and light gradient boosting machines were fit for predictive modeling. We randomly divided 25% of the original data as testing set to conduct internal validation of the performance of the prediction model. The area under the receiver operating characteristic curves (AUC) was used to compare methods.
Eight variables were selected out as potentially significant predictors that could reliably predict ICP. The sensitivity, specificity, accuracy, and AUC of the final prediction model obtained by light gradient boosting machines were 72.41, 79.69, 76.23, and 79.77%, respectively. Significantly higher platelet large cell ratio, alanine aminotransferase, glutamyl transpeptidase, and fibrinogen levels were found in cases as compared to healthy controls, while activated partial thromboplastin time and mean corpuscular hemoglobin concentration levels were significantly lower (p The combination of alanine aminotransferase, glutamyl transpeptidase, fibrinogen, platelet large cell ratio, activated partial thromboplastin time, lactate dehydrogenase, creatinine, and mean corp

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14897173.v1（source: https://tandf.figshare.com/articles/dataset/Prediction_of_intrahepatic_cholestasis_of_pregnancy_in_the_first_20_weeks_of_pregnancy/14897173）。