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Research

Research & Methodology

From the literature that informed our work to the full technical methodology, explainability framework, and responsible AI documentation.

Literature Review

Prior Research

8 peer-reviewed papers that informed our methodology and design decisions.

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Capstone Project

Our Research

Full methodology, pipeline diagrams, EDA figures, evaluation results, and team.

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Explainable AI

XAI Explained

Interactive guide to SHAP and LIME — how we make every prediction transparent.

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Responsible AI

Model Card

Intended use, limitations, ethical considerations, and performance metrics.

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Data Documentation

Dataset Explorer

CDC BRFSS survey data — 14 features, their types, and ethics discussion.

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DiabetesRisk

An end-to-end machine learning platform for Type 2 diabetes risk prediction with SHAP and LIME explainability.

Moringa School Capstone · Nairobi · 2026

Platform

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Research

  • Prior Research
  • Our Research
  • XAI Explained
  • Model Card

© 2026 Diabetes Risk Predictor. MIT License.

⚠ For research and educational purposes only. Not a clinical diagnosis tool.

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