mimic3-benchmarks and mimic-iv-benchmarks

mimic3-benchmarks
51
Established
mimic-iv-benchmarks
31
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 17/25
Stars: 874
Forks: 342
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 15
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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.

clinical-research critical-care healthcare-analytics patient-outcomes medical-prediction

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.

clinical-research critical-care predictive-analytics healthcare-data hospital-management

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