Diabetes
This diabetes dataset is from AIM '94
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Categorical, Integer
# Instances
1
# Features
20
Dataset Information
Additional Information
Diabetes patient records were obtained from two sources: an automatic electronic recording device and paper records. The automatic device had an internal clock to timestamp events, whereas the paper records only provided "logical time" slots (breakfast, lunch, dinner, bedtime). For paper records, fixed times were assigned to breakfast (08:00), lunch (12:00), dinner (18:00), and bedtime (22:00). Thus paper records have fictitious uniform recording times whereas electronic records have more realistic time stamps. Diabetes files consist of four fields per record. Each field is separated by a tab and each record is separated by a newline. File Names and format: (1) Date in MM-DD-YYYY format (2) Time in XX:YY format (3) Code (4) Value The Code field is deciphered as follows: 33 = Regular insulin dose 34 = NPH insulin dose 35 = UltraLente insulin dose 48 = Unspecified blood glucose measurement 57 = Unspecified blood glucose measurement 58 = Pre-breakfast blood glucose measurement 59 = Post-breakfast blood glucose measurement 60 = Pre-lunch blood glucose measurement 61 = Post-lunch blood glucose measurement 62 = Pre-supper blood glucose measurement 63 = Post-supper blood glucose measurement 64 = Pre-snack blood glucose measurement 65 = Hypoglycemic symptoms 66 = Typical meal ingestion 67 = More-than-usual meal ingestion 68 = Less-than-usual meal ingestion 69 = Typical exercise activity 70 = More-than-usual exercise activity 71 = Less-than-usual exercise activity 72 = Unspecified special event The diabetes files consist of four fields per record. Each field is separated by a tab and each record is separated by a newline.File Names and format:(1) Date in MM-DD-YYYY format(2) Time in XX:YY format(3) Code(4) Value
Has Missing Values?
No
Variable Information
Diabetes files consist of four fields per record. Each field is separated by a tab and each record is separated by a newline. File Names and format: (1) Date in MM-DD-YYYY format (2) Time in XX:YY format (3) Code (4) Value
Dataset Files
| File | Size |
|---|---|
| diabetes-data.tar.Z | 183.2 KB |
| README | 682 Bytes |
| Index | 115 Bytes |
Papers Citing this Dataset
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By Liyuan Xu, Junya Honda, Gang Niu, Masashi Sugiyama. 2019
Published in ArXiv.
By Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, Tal Wagner. 2019
Published in ArXiv.
By Ting Yang, Zhiqiang Tan. 2019
Published in
By Alicja Gosiewska, Aleksandra Gacek, Piotr Lubon, Przemyslaw Biecek. 2019
Published in ArXiv.
By Alper Atamturk, Andres Gomez. 2019
Published in ArXiv.
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset diabetes = fetch_ucirepo(id=34) # data (as pandas dataframes) X = diabetes.data.features y = diabetes.data.targets # metadata print(diabetes.metadata) # variable information print(diabetes.variables)
Kahn, M. Diabetes [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5T59G.
Keywords
Creators
Michael Kahn
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.