GDM数据集
基于CERNER记录的伦敦圣玛丽医院妊娠病例回顾性数据，包含26063名患者的多维表格数据，用于妊娠糖尿病研究。
基本信息
资源简介
GDM数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 1 个文件、合计 5.41 MB，主题涵盖 Gestational Diabetes Maternal obesity、Gestational Diabetes Incidence、gestational diabetes mellitus (GDM)、Shoulder Dystocia、birthweight centiles，可用于统计建模、特征工程与队列分析，CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《GDM Dataset.xlsx》。源站首次发布：2023-01-03。
【数据内容】
源站原始描述：Using CERNER records of pregnancies monitored at St. Mary''s Hospital in London from April 2016 to November 2019, we carried out a retrospective observational research. 26063 patients were found in the initial search results, with the following factors: Postcode, height, weight, BMI at booking, ethnicity (self-reported), parity, offer of a glucose tolerance test, results of the test (0 minutes and 120 minutes after a 75g glucose load), mode of delivery, estimated total blood loss, gestational age…
【数据结构与技术规格】
文件数 1 个，合计 5.41 MB。数据集 DOI：10.6084/m9.figshare.21806472.v1。
【主题与分类】
源站学科分类：Metabolic medicine、Medicine, nursing and health curriculum and pedagogy、Reproductive medicine not elsewhere classified、Foetal development and medicine。主题标签：Gestational Diabetes Maternal obesity、Gestational Diabetes Incidence、gestational diabetes mellitus (GDM)、Shoulder Dystocia、birthweight centiles。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面：https://figshare.com/articles/dataset/GDM_Dataset_xlsx/21806472
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Jeyaparam, Srirangan; Agha-Jaffar, Rochan (2023). GDM Dataset.xlsx. figshare. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取（Figshare）
- 源站标题：GDM Dataset.xlsx
- DOI：10.6084/m9.figshare.21806472.v1
- 发布日期：2023-01-03
- 文件数：1 个
- 文件总体积：5.41 MB
- 源站页面：https://figshare.com/articles/dataset/GDM_Dataset_xlsx/21806472
命令行下载
curl -L -o "GDM Dataset.xlsx" "https://ndownloader.figshare.com/files/38695140"
文件清单
GDM Dataset.xlsx（5.41 MB）
文件总体积 5.41 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
Using CERNER records of pregnancies monitored at St. Mary’'s Hospital in London from April 2016 to November 2019, we carried out a retrospective observational research. 26063 patients were found in the initial search results, with the following factors: Postcode, height, weight, BMI at booking, ethnicity (self-reported), parity, offer of a glucose tolerance test, results of the test (0 minutes and 120 minutes after a 75g glucose load), mode of delivery, estimated total blood loss, gestational age, neonatal birthweight, admission to a SCBU, length of stay after delivery, foetal sex, and stillbirth are some of the other factors taken into account. Prior to analysis, patients having missing values for one or more of the important variables were deleted from the dataset. We did not make an effort to impute missing data. When reexamining the original patient data was not possible, significantly outlying results were adjusted, and datasets were then eliminated. Unit measurement inconsistencies were fixed.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.21806472.v1（source: https://figshare.com/articles/dataset/GDM_Dataset_xlsx/21806472）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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