rvandewater/YAIB
🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109
This project helps clinical researchers and data scientists standardize machine learning experiments using Intensive Care Unit (ICU) electronic health record data. You can input raw or preprocessed ICU patient data and define specific prediction tasks like mortality or kidney injury to get benchmarked model results. It's designed for medical researchers, biostatisticians, and clinical data scientists evaluating and comparing predictive models in critical care.
Available on PyPI.
Use this if you need a consistent and reproducible way to test and compare different machine learning models on ICU patient data for clinical prediction tasks.
Not ideal if you are a clinician looking for a ready-to-use diagnostic tool, as this is a research framework for model development and evaluation, not a deployed clinical application.
Stars
93
Forks
28
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Dependencies
22
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