IMID Patient Clusters Visualization Dashboard

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An interactive visualization dashboard demonstrating patient clustering from synthetic EHR data for Immune-Mediated Inflammatory Diseases.

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Year2024

ServiceFull Stack + Data Science

ClientPersonal

Built withNext.js, React, Prisma, SQLite, Python, Scikit-learn, Google Gemini

Problem

Identifying meaningful patient subgroups in IMID data requires complex clustering algorithms and domain expertise that is hard to communicate visually.

Solution

Combined K-Means/DBSCAN clustering with AI-generated summaries to create an accessible dashboard that reveals patient group patterns based on multiple health metrics.

Overview

Leverages K-Means/DBSCAN clustering and AI-generated summaries (Google Gemini) to provide insights into patient groups based on age, condition count, and medication count.

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