ICU 2型糖尿病呼吸机相关性肺炎预测数据集

数据集获取（Figshare）

• 源站标题：Predicting Ventilator-Associated Pneumonia in ICU Patients with Type 2 Diabetes — Data Preprocessing, Baseline Features, Correlation Analysis, Model Evaluation, the Web-based Calculator, and the TRIPOD-AI Guideline
• DOI：10.6084/m9.figshare.30454706.v13
• 发布日期：2026-07-29
• 文件数：12 个
• 文件总体积：2.20 MB
• 源站页面：https://figshare.com/articles/dataset/Data_Preprocessing_Baseline_Characteristics_Variable_Correlation_Analysis_and_Model_Evaluation_for_Predicting_Ventilator-Associated_Pneumonia_in_ICU_Patients_with_Type_2_Diabetes_Mellitus/30454706

命令行下载

curl -L -o "Supplementary-Table 1.pdf" "https://ndownloader.figshare.com/files/59717648"
curl -L -o "Fig.S1.tiff" "https://ndownloader.figshare.com/files/59716898"
curl -L -o "Fig.S2.tiff" "https://ndownloader.figshare.com/files/59716901"
curl -L -o "Fig.S3.tiff" "https://ndownloader.figshare.com/files/59716904"
curl -L -o "Fig.S4.tiff" "https://ndownloader.figshare.com/files/59716907"
curl -L -o "Fig.S5.tiff" "https://ndownloader.figshare.com/files/59716910"
curl -L -o "Fig.S6.tiff" "https://ndownloader.figshare.com/files/59716913"
curl -L -o "Fig.S7.tiff" "https://ndownloader.figshare.com/files/59716916"

文件清单

• Supplementary-Table 1.pdf（132.02 KB）
• Fig.S1.tiff（208.47 KB）
• Fig.S2.tiff（209.33 KB）
• Fig.S3.tiff（262.47 KB）
• Fig.S4.tiff（286.46 KB）
• Fig.S5.tiff（249.33 KB）
• Fig.S6.tiff（134.49 KB）
• Fig.S7.tiff（232.72 KB）
• Fig.S8.tiff（142.24 KB）
• TRIPODAI_checklist.pdf（163.88 KB）
• Supplementary Table S2.pdf（97.86 KB）
• User Guide for the Web.pdf（76.65 KB）

文件总体积 2.20 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

This dataset contains the baseline characteristics and supplementary data from a study of ICU patients with type 2 diabetes mellitus (T2DM), aiming to predict ventilator-associated pneumonia (VAP) using machine learning.
The baseline characteristics table summarizes patient demographics, vital signs, and laboratory measurements. Supplementary figures illustrate the data preprocessing steps (histograms and boxplots before and after interquartile range cleaning), missing value imputation using the Random Forest method, variable correlation analysis (Spearman correlation heatmap), model evaluation (confusion matrices of four predictive models), and the Web-based Calculator. In addition, the dataset includes a file summarizing the TRIPOD-AI guideline used for model reporting. These data provide a detailed overview of feature selection, data cleaning procedures, and model performance assessment.
Fig. S1. Histograms and boxplots of Glucose_max and SBP_max in original and cleaned datasets: Glusco_max, maximum blood glucose; SBP_max, maximum systolic blood pressure. (A) original Glusco_max; (B) cleaned Glusco_max; © original SBP_max; (D) cleaned SBP_max.
Fig. S2. Histograms and boxplots of Temp_min and WBC_min in original and cleaned datasets: Temp_min, minimum body temperature; WBC_min, minimum white blood cell count.(A)original Temp_min; (B)cleaned Temp_min; ©original WBC_min; (D)cleaned WBC_min.
Fig. S3. Histograms of PH_max and PH_min in original and Random Forest–imputed datasets: PH_max, maximum pH; PH_min, minimum pH.
Fig. S4. Histograms of PO2_max and PO2_min in original and Random Forest–imputed datasets: PO2_max, maximum partial pressure of oxygen; PO2_min, minimum partial pressure of oxygen.
Fig. S5. Histograms of PT_max and PT_min in original and Random Forest–imputed datasets: PT_max, maximum prothrombin time; PT_min, minimum prothrombin time.
Fig. S6. Spearman correlation heatmap of variables selected by both the Boruta algorithm and LASSO regression:Hypertension, history of hypertension; Temp_min, minimum body temperature; Glusco_max, maximum blood glucose; Scr_max, maximum serum creatinine; WBC_min, minimum white blood cell count;CNS, SOFA neurologic

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.30454706.v13（source: https://figshare.com/articles/dataset/Data_Preprocessing_Baseline_Characteristics_Variable_Correlation_Analysis_and_Model_Evaluation_for_Predicting_Ventilator-Associated_Pneumonia_in_ICU_Patients_with_Type_2_Diabetes_Mellitus/30454706）。