---
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](https://huggingface.co/datasets/guyshilo12/diabetes_eda_analysis)