sibyl-dev/VBridge
Visualization for Explainable Healthcare Models
This tool helps healthcare professionals understand why a machine learning model made a specific health prediction for a patient, such as mortality risk. It takes de-identified electronic health records as input and produces visual explanations of the model's decision-making process. Medical researchers, clinicians, or data scientists working with patient data can use this to interpret complex AI predictions.
No commits in the last 6 months.
Use this if you need to visualize and interpret the predictions of AI models trained on electronic health records to understand individual patient outcomes.
Not ideal if you are looking for a tool to build healthcare prediction models from scratch rather than explain existing ones.
Stars
16
Forks
3
Language
TypeScript
License
MIT
Last pushed
Dec 26, 2021
Commits (30d)
0
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