Name: Predict Diabetes Based On Diagnostic Measures
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Predict Diabetes Based On Diagnostic Measures

Context
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.

Content
The datasets consists of several medical predictor variables and one target variable, diabetes. Predictor variables includes the number of pregnancies the patient has had, their BMI, weight, age,glucose, and so on.

Inspiration
Can you build a machine learning model to accurately predict whether or not the patients in the dataset have diabetes or not?

Tables

Diabetes

@kaggle.houcembenmansour_predict_diabetes_based_on_diagnostic_measures.diabetes

22.05 kB
390 rows
16 columns

CREATE TABLE diabetes (
  "patient_number" BIGINT,
  "cholesterol" BIGINT,
  "glucose" BIGINT,
  "hdl_chol" BIGINT,
  "chol_hdl_ratio" BIGINT,
  "age" BIGINT,
  "gender" VARCHAR,
  "height" BIGINT,
  "weight" BIGINT,
  "bmi" BIGINT,
  "systolic_bp" BIGINT,
  "diastolic_bp" BIGINT,
  "waist" BIGINT,
  "hip" BIGINT,
  "waist_hip_ratio" BIGINT,
  "diabetes" VARCHAR
);