UCI AIM94 数据集
包含70名胰岛素依赖型糖尿病患者的血糖水平和其他测量时间序列记录。
基本信息
资源简介
UCI AIM94 数据集
【数据集背景】
本数据集源站标题为《karimov8899/UCI_AIM94_DiabetesDataSet》。源站首次发布：2020-05-17。
【数据内容】
源站原始描述：Diabetes UCI AIM94 Data Analysis # UCI AIM94 DataSet Data Analysis Sample Diabetes UCI AIM94 Data Analysis Data Analysis is the most important part of every machine learning task. We would analyze the dataset provided by Michael Kahn, MD, Ph.D., Washington University, St. Louis. This dataset has a blood glucose level and other measurement records of 70 patients with insulin-dependent diabetes. The records were received from two sources, from paper records and automatic records, which represent a…
【适用方向】
时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。
【获取与许可】
源站页面：https://github.com/karimov8899/UCI_AIM94_DiabetesDataSet
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/karimov8899/UCI_AIM94_DiabetesDataSet.git
curl -L -o repo.zip https://github.com/karimov8899/UCI_AIM94_DiabetesDataSet/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录（使用方式）
UCI AIM94 DataSet Data Analysis Sample
Diabetes UCI AIM94 Data Analysis
<p>Data Analysis is the most important part of every machine learning task. We would analyze the dataset provided by Michael Kahn, MD, Ph.D., Washington University, St. Louis. This dataset has a blood glucose level and other measurement records of 70 patients with insulin-dependent diabetes. The records were received from two sources, from paper records and automatic records, which represent a time series of measurements.
It is very unhealthy for a patient with diabetes to have high or low blood glucose levels. My aim is to analyze the dataset and to group patients with high and low blood glucose. If a patient consistently has high, low or even both BG(blood glucose), it means that they need more attention.
<p>Our diabetes data set hosted by the UCI Irvine Machine Learning Repository.</p>
数据加载示例（表格/文本类）
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
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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