Update README.md

README.md

@@ -6,5 +6,93 @@ colorTo: purple
 sdk: static
 pinned: false
 ---
+# Tuva Project: Open-Source Healthcare Modeling
 
-Edit this `README.md` markdown file to author your organization card.
+Welcome to the Tuva ML Models Hub — an open-source ecosystem for healthcare risk prediction, cost benchmarking, and expected value modeling.
+
+---
+
+## Mission
+
+The Tuva Project is dedicated to democratizing healthcare knowledge.  
+We believe that access to robust models — especially those that help forecast cost, risk, and utilization — should not be locked behind paywalls or proprietary systems.
+
+These models are typically:
+- Expensive to build and maintain
+- Trained on complex healthcare data
+- Essential for policy, research, and actuarial strategy
+
+By open-sourcing these tools, we empower health systems, researchers, and startups to build with transparency and scale with trust.
+
+---
+
+## What You'll Find Here
+
+This hub is a growing library of machine learning models designed to support:
+
+- Cost prediction
+- Encounter forecasting
+- Risk stratification
+- Benchmarking for Medicare, Medicaid, and commercial populations
+
+Each model includes:
+
+- Trained model artifacts (e.g., `.pkl`, `.joblib`)
+- Scripts for running predictions
+- Complete documentation and evaluation metrics
+
+---
+
+## Current Focus: Medicare (CMS)
+
+Our initial models use de-identified CMS data to support:
+
+- Member-level benchmark modeling
+- Annual medical expenditure prediction
+- Encounter group classification
+- Concurrent and prospective cost estimation
+
+Models like the **Encounter Cost Prediction Model** are trained on the 2020 Medicare Standard Analytic Files (SAF), using standardized preprocessing and evaluation pipelines.
+
+---
+
+## What's Next
+
+We are expanding to include:
+
+- Commercial claims models (e.g., ESI, employer-based populations)
+- Medicaid utilization and cost models
+- Models for clinical risk, readmissions, and chronic condition forecasting
+
+---
+
+## Contribute
+
+This hub is open to community contributions.
+
+If you're working on a healthcare machine learning model and want to share it:
+
+1. Fork one of our repositories
+2. Upload your trained model and code
+3. Document your inputs, outputs, and evaluation
+4. Open a pull request or reach out to our team
+
+We are especially interested in contributions in the areas of:
+
+- Medicaid modeling
+- Longitudinal health data
+- Risk adjustment or stratification
+- Claims and cost prediction at scale
+
+---
+
+## Contact
+
+Tuva Project Team  
+Website: [https://tuvahealth.org](https://tuvahealth.org)  
+Email: hello@tuvahealth.org
+
+---
+
+We believe risk modeling should be open infrastructure.  
+Help us build a future where healthcare knowledge is free and shared.