Pima Indians Diabetes DatabasePima Indians Diabetes Database 预测患者是否患有糖尿病数据集

描述

该数据集最初来自美国国立糖尿病与消化与肾脏疾病研究所。数据集的目的是基于数据集中包含的某些诊断测量值来诊断预测患者是否患有糖尿病。Pima Indians Diabetes DatabasePima Indians Diabetes Database

数据源: https://tianchi.aliyun.com/dataset/163946

数据列表

  • 数据名称上传日期大小下载
  • diabetes.csv2023-10-2223.31KB

文档

Pima Indians Diabetes Database

Predict the onset of diabetes based on diagnostic measures

1.Overview

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

2.Data

The datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

1.简介

该数据集最初来自美国国立糖尿病与消化与肾脏疾病研究所。数据集的目的是基于数据集中包含的某些诊断测量值来诊断预测患者是否患有糖尿病。从较大的数据库中选择这些实例受到一些限制。特别是,这里的所有患者均为皮马印第安人血统至少21岁的女性。

2.数据

数据集由几个医学预测变量和一个目标变量组成Outcome。预测变量包括患者的怀孕次数,其BMI,胰岛素水平,年龄等。

Pregnancies Glucose BloodPressure SkinThickness Insulin BMI DiabetesPedigreeFunction Age Outcome
6 148 72 35 0 33.6 0.627 50 1
1 85 66 29 0 26.6 0.351 31 0
8 183 64 0 0 23.3 0.672 32 1
1 89 66 23 94 28.1 0.167 21 0
0 137 40 35 168 43.1 2.288 33 1
5 116 74 0 0 25.6 0.201 30 0
3 78 50 32 88 31 0.248 26 1
10 115 0 0 0 35.3 0.134 29 0
2 197 70 45 543 30.5 0.158 53 1
8 125 96 0 0 0 0.232 54 1
4 110 92 0 0 37.6 0.191 30 0
10 168 74 0 0 38 0.537 34 1
10 139 80 0 0 27.1 1.441 57 0
1 189 60 23 846 30.1 0.398 59 1
5 166 72 19 175 25.8 0.587 51 1
7 100 0 0 0 30 0.484 32 1
0 118 84 47 230 45.8 0.551 31 1
7 107 74 0 0 29.6 0.254 31 1
1 103 30 38 83 43.3 0.183 33 0
1 115 70 30 96 34.6 0.529 32 1
3 126 88 41 235 39.3 0.704 27 0
8 99 84 0 0 35.4 0.388 50 0
7 196 90 0 0 39.8 0.451 41 1
9 119 80 35 0 29 0.263 29 1
11 143 94 33 146 36.6 0.254 51 1