Machine Learning for Oncology
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make-notes-dataset
make-notes-dataset PublicPipelines for harmonizing and de-identifying unstructured free text notes from oncology patients at Princess Margaret Cancer Centre.
Python 1
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OncoTRAIL
OncoTRAIL PublicLLM and machine learning framework for oncology toxicity risk prediction from clinical notes and tabular data.
Python
Repositories
- model-deployer Public
Silent deployment of AIM2REDUCE models to predict undesirable cancer events in Princess Margaret hospital under the EPIC system.
- make-notes-dataset Public
Pipelines for harmonizing and de-identifying unstructured free text notes from oncology patients at Princess Margaret Cancer Centre.
- make-clinical-dataset Public
- OncoTRAIL Public
LLM and machine learning framework for oncology toxicity risk prediction from clinical notes and tabular data.
- PredUCE Public
- ml4o-batch-inference Public
Scalable batch inference pipeline using vLLM. Process thousands of prompts on HPC clusters with Docker/Apptainer and Slurm support.
- ml4o-inference Public Forked from VectorInstitute/vector-inference
Efficient LLM inference on Slurm clusters using vLLM.
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