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metadata
license: mit
task_categories:
  - token-classification
  - reinforcement-learning
language:
  - en
tags:
  - health
  - diabetes
  - glucose
  - classification
size_categories:
  - 10K<n<100K

⛽ Synthetic Diabetes Data

This dataset contains various features that are helpful for predicting if a patient has diabetes. The data is compiled into a single csv file for analysis and model training.

📁 Dataset Description

Contains synthetic data on based on synthetic patient information.

Columns

The dataset includes the following columns:

  • abdominal_obesity (int)

  • alcohol_consumption_per_week (int):

    The amount of alcohol consumption per week of the patient.

  • alcohol_group (string):

    The category the patient is placed in, in regards to their alcohol consumption.

  • bmi (float):

    The body mass index of the patient.

  • bmi_group (string):

    The category the patient is placed in, in regards to their bmi.

  • cardiovascular_history (int):

    Indicates whether or not patient has a history of cardiovascular.

  • cholesterol_total (int):

    Sum of all cholesterol types in blood. Indicator of diabetic dyslipidemia, referring to a specific pattern of abnormal blood lipid levels commonly seen in people with diabetes.

    Total Cholesterol = HDL+LDL+VLDL = HDL+LDL+(Triglycerides/5) Ideal Level: Total Cholesterol: <200 mg/dL

  • diabetes_risk_score (float)

  • diabetes_stage (string)

  • diastolic_bp (int):

    Pressure when the heart relaxes between beats.

    Elevated BP is common in diabetes but does not diagnose it.

    Useful for risk stratification, not for diagnosis.

  • education_level (string):

    The education level of the patient.

  • employment_status (string):

    The employment status of the patient.

  • ethnicity (string):

    The ethnicity of the patient.

  • family_history_diabetes (int):

    Indicates whether or not the patient's family has history of diabetes.

  • gender (string):

    The gender of the patient.

  • glucose_fasting (int):

    Glucose levels when fasting

  • glucose_postprandial (int):

    Measure of blood glucose levels ~ 2 hours after a meal.

    Elevated post-meal glucose is an early sign of impaired glucose metabolism and type 2 diabetes.

    Ranges: <18 µU/mL too Low; Typical peak: 18–276 mg/dL = Healty insulin response; ≥276 mg/dL = insulin resistance or hyperinsulinemia

  • hba1c (float):

    Hemoglobin A1c

    Average blood sugar over 2–3 months.

    Diagnostic use: HbA1c 5.7–6.4% = prediabetes. HbA1c ≥6.5% = diabetes

    Strength: Does not require fasting and is widely used for diagnosis and monitoring.

  • hdl_cholesterol (int):

    High-Density Lipoprotein Cholesterol: “Good” cholesterol. Removes excess cholesterol from arteries. Higher HDL = better.

    Ideal Level: >40 mg/dL (men), >50 mg/dL (women)

  • heart_rate (int)

    Diabetes can cause autonomic neuropathy, leading to abnormal heart rate or variability. Not diagnostic, but may indicate complications.

  • hypertension_history (int):

    Indicates whether or not the patient has a history of hypertension.

  • income_level (string):

    The income bracket of the patient.

  • insulin_level (float):

    Units: µU/mL (micro-units per milliliter) or mIU/L (milli-international units per liter). Units are interchangeable: 1 µU/mL = 1 mIU/L

    Fasting Insulin (after 8–12 hours without food):

    • Normal: 2–25 µU/mL
    • Optimal: Many experts suggest <10 µU/mL for best metabolic health
    • Above 25 µU/mL: May indicate insulin resistance or hyperinsulinemia
    • Below 2 µU/mL: May indicate type 1 diabetes or pancreatic dysfunction

    Postprandial (after eating, usually 30–90 minutes):

    • Normal peak: 18–276 µU/mL
    • Should return to baseline within 2–3 hours
    • Higher spikes often occur after high-carb meals
  • ldl_cholesterol (int):

    Low-Density Lipoprotein Cholesterol: “Bad” cholesterol.

    Deposits cholesterol in artery walls, leading to plaque buildup. Lower LDL = better.

    Ideal Level: <100 mg/dL

  • physical_activity_minutes_per_week (int):

    The average time of performing physical activities per week (in minutes).

  • screen_time_hours_per_day (float):

    The time (in hours) that the patient spends using technology.

  • sleep_hours_per_day (float):

    The amount of time the patient sleeps per night.

  • smoking_status (string):

    The smoking status of the patient.

  • systolic_bp (int):

    Normal peak: 18–276 µU/mL

    Should return to baseline within 2–3 hours

    Higher spikes often occur after high-carb meals

  • triglycerides (int):

    A type of fat in blood. High levels often linked to insulin resistance and diabetes.

    Ideal Level: <150 mg/dL

  • waist_to_hip_ratio (float):

    The waist circumference divided by the hip circumference.

  • diagnosed_diabetes (int)

    Label/Target Column

📚 Data Sources

The data in this project is sourced from the following source: Diabetes EDA Analysis