Aminata33/SierraLeone-Diabetes-Dataset

A benchmark dataset for early diabetes prediction in Sierra Leone # Sierra Leone Diabetes Dataset ## 📌 Overview The **Sierra Leone Diabetes Dataset** is a synthetically generated dataset designed to support research in early diabetes prediction using machine learning techniques, particularly in low-resource healthcare environments. This dataset was developed to simulate realistic clinical patterns relevant to Sierra Leone and similar contexts, providing a benchmark resource for researchers, students, and practitioners. --- ## ⚠️ Important Note This dataset is **synthetic** and does not contain real patient data. It was generated to reflect plausible medical distributions and relationships observed in diabetes-related studies. --- ## 🎯 Objectives This dataset is intended to: * Serve as a **benchmark dataset** for machine learning models * Support **early diabetes prediction research** * Enable experimentation in **low-resource healthcare settings** * Facilitate **federated learning and distributed AI research** * Encourage reproducible and comparable research outcomes --- ## 📊 Dataset Information * **Number of Instances:** 600 * **Number of Features:** 10 * **Target Variable:** Outcome (Diabetes diagnosis) --- ## 🧾 Feature Description | Feature Name | Description | | ------------------------ | ------------------------------------------------ | | Sex | Biological sex (0 = Female, 1 = Male) | | Pregnancies | Number of pregnancies | | Glucose | Plasma glucose concentration | | BloodPressure | Diastolic blood pressure (mm Hg) | | SkinThickness | Triceps skin fold thickness (mm) | | Insulin | 2-Hour serum insulin (mu U/ml) | | BMI | Body Mass Index (weight in kg/(height in m)^2) | | DiabetesPedigreeFunction | Diabetes likelihood based on family history …