Baselight

Diabetes Dataset - Pima Indians

Analysis Diabetes Database

@kaggle.nancyalaswad90_review

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About this Dataset

Diabetes Dataset - Pima Indians

What is Diabetes Dataset - Pima Indians Dataset?

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 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
From the data set in the (.csv) File We can find several variables, some of them are independent
(several medical predictor variables) and only one target dependent variable (Outcome).

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Acknowledgments

When we use this dataset in our research, we credit the authors as :

  • License : CC0: Public Domain.

  • 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 Proceedings of the Symposium on Computer Applications and Medical Care (pp. 261--265). IEEE Computer Society Press, and it is published t to reuse in the google research dataset.

The main idea for uploading this dataset is to practice data analysis with my students, as I am working in college and want my student to train our studying ideas in a big dataset, It may be not up to date and I mention the collecting years, but it is a good resource of data to practice

Tables

Diabetes

@kaggle.nancyalaswad90_review.diabetes
  • 17.61 KB
  • 768 rows
  • 9 columns
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CREATE TABLE diabetes (
  "pregnancies" BIGINT,
  "glucose" BIGINT,
  "bloodpressure" BIGINT,
  "skinthickness" BIGINT,
  "insulin" BIGINT,
  "bmi" DOUBLE,
  "diabetespedigreefunction" DOUBLE,
  "age" BIGINT,
  "outcome" BIGINT
);

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