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thyroid-cancer

Here are 21 public repositories matching this topic...

ThyroAI is an AI-powered healthcare application that predicts thyroid cancer outcomes using machine learning. It analyzes patient clinical data to support recurrence prediction, stage classification, treatment recommendations, and survival analysis through an intuitive web interface, enabling smarter clinical decision support.

  • Updated Jul 2, 2026
  • HTML

ThyRAD – Thyroid Radioactive Decay Predictor Tool. Open-access, JavaScript-based web app to simulate ¹³¹I decay using mono-exponential and piecewise multi-segmentedmodels. Features include half-life estimation, decay tables, time–activity curves, AUC calculation.

  • Updated Feb 22, 2026
  • JavaScript

An end-to-end data science project analyzing thyroid cancer recurrence using Python. Features rigorous statistical testing (Chi-square, Kruskal-Wallis) and predictive modeling with XGBoost and Random Forest to evaluate clinical outcomes.

  • Updated Jan 23, 2026
  • Jupyter Notebook

Differentiated thyroid cancer recurrence — estimated, explained, and measured. Most work on this dataset reports ~98% accuracy; this reports 89%, because the feature driving the rest is recorded after treatment. FastAPI + scikit-learn + SHAP, with explanations that are scored, not assumed.

  • Updated Aug 14, 2026
  • Jupyter Notebook

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