# Phabeta MedML Studio

> No-code machine learning pipeline for healthcare.

Phabeta MedML Studio automates the entire machine learning pipeline for healthcare applications, ensuring fairness, privacy, and clinical trust. Users can upload clinical datasets, preprocess data, train models, evaluate with SHAP interpretability, and deploy production-ready models — all without writing code.

## Pages

- [Home](/): No-code machine learning platform built for healthcare teams.
- [Healthcare](/healthcare): How PhaBeta supports clinical ML — fairness, privacy and interpretability.
- [About](/about): A clinical AI platform for trustworthy machine learning.
- [Blog](/blog): Articles on healthcare ML, fairness, interpretability and deployment.
- [Careers](/careers): Open roles at PhaBeta — engineering, research, design and community.
- [Contact](/contact): Reach the PhaBeta team for support and partnerships.
- [Community](/community): GitHub, forums, tutorials and events for healthcare ML practitioners.
- [Clinical ML Classification](/clinical-ml-classification): Practical guide to safe, fair clinical classification models, with a free 12-point checklist.
- [Application](/app): The no-code clinical ML pipeline (sign-in required).

## Docs

- [Documentation](/docs): Overview of the PhaBeta MedML Studio platform.
- [Data Ingestion](/docs/data-ingestion): Upload and prepare clinical datasets.
- [Preprocessing](/docs/preprocessing): Cleaning, encoding and biological range filters.
- [Model Training](/docs/model-training): Train and tune classification models.
- [Evaluation](/docs/evaluation): Balanced accuracy, sensitivity and fairness metrics.
- [Deployment](/docs/deployment): Generate production-ready deployment artefacts.
- [NHS Compliance](/docs/nhs-compliance): DCB0129/0160, SNOMED CT, FHIR R4 alignment.
- [API Reference](/docs/api-reference): Programmatic interfaces and integration points.
- [Tutorials](/docs/tutorials): Step-by-step walkthroughs of common workflows.
- [Resources](/docs/resources): Further reading and external references.

## Optional

- [Privacy Policy](/privacy): UK GDPR, DPA 2018 and NHS information governance.
- [Terms of Service](/terms): Usage rights and clinical disclaimer.
- [Cookie Policy](/cookie-policy): Cookies, analytics and consent under PECR.