METHMAL.

// CASE STUDY SHOWCASE

ThyroTrack – Thyroid Cancer Risk Prediction

A full-stack AI-based healthcare platform for thyroid cancer risk prediction and patient management.

Scroll
BACK TO PORTFOLIO
01 / CASE STUDY DETAILS
ROLEFull-Stack Developer & ML Engineer
CLIENTAcademic Project
YEAR2025
React.jsExpress.jsFlaskMySQLRandom ForestSHAP
Project Showcase 1
1 / 2
// OVERVIEW & ENGINEERING STORY

High-Impact Architecture & Execution.

A full-stack AI-based healthcare platform for thyroid cancer risk prediction and patient management.

Developed a full-stack AI-based healthcare platform for thyroid cancer risk prediction and patient management. Integrated a Random Forest model with SHAP-based explainability, providing transparent and interpretable predictions from clinical and diagnostic patient data.

The platform includes patient record management, progress tracking, and automated report generation. Built with React.js, Express.js, Flask, and MySQL to deliver a production-grade clinical decision support tool accessible to both healthcare professionals and non-technical users.