Model Deployer

Silent deployment of AIM2REDUCE models to predict undesirable cancer events in Princess Margaret hospital under the EPIC system.

Getting started

git clone https://github.com/ml4oncology/model-deployer
pip install -e ".[dev]"

# optional
pre-commit install
mypy --install-types

Project Organization

├── src             <- The source code
├── Data            <- The daily, weekly, and monthly data pulls
├── Models          <- ML models
└── Infos           <- Configuration files (regimen mapping, thresholds, etc)

Filenames:

AIM2REDUCE_DATA_YYYYMMDD.csv

• patients and their historical records who had a treatment scheduled the following day of
• pulled daily

AIM2REDUCE_DATA_monthly_YYYYMMDD.csv

• patients and their historical records who had a treatment since March 2024 until the month before the date
• pulled monthly

AIM2REDUCE_DATA_weekly_YYYYMMDD.csv

• patients and their historical records who had a clinic visit on the day of and have treatment scheduled within the next 5 days
• pulled daily

AIM2REDUCE_DATA_weekly_monthly_YYYYMMDD.csv

• patients and their historical records who had a clinic visit since Sep 2024 until the month before the date
• pulled monthly