NIDDK糖尿病数据集
该数据集是一个包含临床表格数据的医学数据集,主要用于糖尿病预测研究,数据包括患者的孕次、BMI、胰岛素水平、年龄等多个预测变量以及糖尿病诊断结果,可用于机器学习模型训练和医学数据分析。

基本信息
资源简介
NIDDK糖尿病数据集
【数据集背景】
本数据集源站标题为《rahangdalebhavana/Data-Science-Capstone-Project-Healthcare》。源站首次发布:2024-07-15。
【数据内容】
源站原始描述:The dataset used in this project is originally from NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases.. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. # Data-Science-Capstone-Project-Healthcare ### The dataset used in this project is originally from NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases. ### The objective is to predict whether or not a patient has diabetes…
【获取与许可】
源站页面:https://github.com/rahangdalebhavana/Data-Science-Capstone-Project-Healthcare
【使用注意】
· 源站最后修改于 2024-08-07,引用时请注意版本时效。
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
git clone https://github.com/rahangdalebhavana/Data-Science-Capstone-Project-Healthcare.git
curl -L -o repo.zip https://github.com/rahangdalebhavana/Data-Science-Capstone-Project-Healthcare/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录(使用方式)
Data-Science-Capstone-Project-Healthcare
The dataset used in this project is originally from NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases.
The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.
Build a model to accurately predict whether the patients in the dataset have diabetes or not.
Dataset Description:
The dataset consists of several medical predictor variables and one target variable (Outcome). Predictor variables include the number of pregnancies the patient has had, their BMI, insulin level, age, and more.
完整仓库:github.com/rahangdalebhavana/Data-Science-Capstone-Project-Healthcare
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




