mimic3-benchmarks and mimic-iv-benchmarks
About mimic3-benchmarks
YerevaNN/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
This tool helps medical researchers and healthcare data scientists prepare clinical data from the MIMIC-III database for machine learning. It takes raw patient records and transforms them into structured datasets for common inpatient prediction tasks like forecasting mortality, detecting decompensation, predicting length of stay, and classifying patient phenotypes. This is designed for researchers who want to apply machine learning to critical care data without the heavy lift of data engineering.
About mimic-iv-benchmarks
vincenzorusso3/mimic-iv-benchmarks
FDSML Course Project 2020/21
This tool helps clinical researchers and data scientists working with healthcare data by providing a standardized way to create benchmark datasets from the MIMIC-IV database. You input raw MIMIC-IV CSV files, and it generates structured datasets ready for machine learning tasks like predicting patient mortality or forecasting length of hospital stay. It is ideal for researchers evaluating and comparing different machine learning models for critical care predictions.
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