dermatologist/kedro-multimodal

Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.

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Emerging

This project helps healthcare professionals and researchers build machine learning models that analyze diverse patient data. It takes inputs like patient reports (text), medical images (X-rays, scans), and structured patient records (tabular data) and combines them to produce more accurate predictive models. Researchers and data scientists in healthcare can use this to create robust diagnostic or prognostic tools.

No commits in the last 6 months.

Use this if you need to combine multiple types of patient data (like text, images, and tabular information) to build a machine learning model for healthcare applications.

Not ideal if your project does not involve healthcare data or if you only work with a single type of data (e.g., only images or only text).

healthcare-ai medical-imaging clinical-nlp patient-data-analysis biomedical-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 10 / 25

How are scores calculated?

Stars

24

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Mar 21, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/mlops/dermatologist/kedro-multimodal"

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