Update README.md

README.md

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 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)