BONSAI
importedsoftware/bonsai
A BERT-based framework for processing and analyzing Electronic Health Records (EHR) data. It provides an end-to-end pipeline for data preprocessing, model training, and clinical outcome prediction.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- FGA-DIKU
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/FGA-DIKU/BONSAI
- Documentation
- unknown
- Tags
- bert · ehr · healthcare-ai · predictive-modeling
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- SAP_H3N2_MLpredictive-modeling
ML model for influenza antigenic surveillance · Nature Communications 2024 · Live demo on Hugging Face
- PhysicianBenchehr · healthcare-ai
The benchmark tasks and evaluation harness for "PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments".
- Integrated Systems Oncology: A Multimodal Framework for Addressing Cancer Heterogeneitypredictive-modeling
Abstract Cancer represents a complex adaptive system whose therapeutic recalcitrance is fundamentally driven by multidimensional heterogeneity. This heterogeneity manifests across genetic,…
- HealthChainehr · healthcare-ai
Python SDK for healthcare AI — typed, validated FHIR tools for agents, real-time EHR connectivity, production deployment ✨ 🏥
BERT implementation for radiology full-text reports
- DocProductbert
Medical Q&A with Deep Language Models
- api.github.com/repos/FGA-DIKU/BONSAIretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-04, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/51.json→ .entries["bonsai"]
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