皮马印第安人糖尿病数据集
包含768例Pima印第安女性临床特征，用于糖尿病二分类预测的表格数据集。
基本信息
模态
表格
创建/更新时间
2019-02-05
资源简介
该数据集包含768例Pima印第安女性的8个临床特征（怀孕次数、血糖浓度、血压、皮肤厚度、胰岛素、BMI、糖尿病遗传函数、年龄）以及糖尿病诊断结果，用于二分类预测糖尿病。数据来源于国家糖尿病和消化及肾脏疾病研究所，由Vincent Sigillito捐赠。
下载信息
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使用方式
数据集获取
git clone https://github.com/cnachteg/diabetes_dataset.git
curl -L -o repo.zip https://github.com/cnachteg/diabetes_dataset/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录（使用方式）
diabetes_dataset
The resources for this dataset can be found at https://www.openml.org/d/37
Author: Vincent Sigillito
Source: Obtained from UCI
Please cite: UCI citation policy
- Title: Pima Indians Diabetes Database
- Sources:
(a) Original owners: National Institute of Diabetes and Digestive and
Kidney Diseases
(b) Donor of database: Vincent Sigillito (vgs@aplcen.apl.jhu.edu)
Research Center, RMI Group Leader
Applied Physics Laboratory
The Johns Hopkins University
Johns Hopkins Road
Laurel, MD 20707
(301) 953-6231
© Date received: 9 May 1990 - Past Usage:
- Smith,~J.~W., Everhart,~J.~E., Dickson,~W.~C., Knowler,~W.~C., &
Johannes,~R.~S. (1988). Using the ADAP learning algorithm to forecast
the onset of diabetes mellitus. In {it Proceedings of the Symposium
on Computer Applications and Medical Care} (pp. 261265). IEEE
Computer Society Press.
The diagnostic, binary-valued variable investigated is whether the
patient shows signs of diabetes according to World Health Organization
criteria (i.e., if the 2 hour post-load plasma glucose was at least
200 mg/dl at any survey examination or if found during routine medical
care). The population lives near Phoenix, Arizona, USA.
Results: Their ADAP algorithm makes a real-valued prediction between
0 and 1. This was transformed into a binary decision using a cutoff of
0.448. Using 576 training instances, the sensitivity and specificity
of their algorithm was 76% on the remaining 192 instances. - Relevant Information:
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. ADAP is an adaptive learning
routine that generates and executes digital analogs of perceptron-like
devices. It is a unique algorithm; see the paper for details. - Number of Instances: 768
- Number of Attributes: 8 plus class
- For Each Attribute: (all numeric-valued)
- Number of times pregnant
- Plasma glucose concentration a 2 hours in an oral glucose tolerance test
- Diastolic blood pressure (mm Hg)
- Triceps skin fold thickness (mm)
- 2-Hour serum insulin (mu U/ml)
- Body mass index (weight in kg/(height in m)^2)
- Diabetes pedigree function
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))
精度瓶颈？数据缺失？
当前公开数据无法满足您的算法精度？千方提供针对 糖尿病 的高质量、多模态真实临床数据定制解决方案。
