vincenzorusso3/mimic-iv-benchmarks

FDSML Course Project 2020/21

31
/ 100
Emerging

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.

No commits in the last 6 months.

Use this if you are a clinical data scientist or researcher who needs pre-processed, standardized datasets from MIMIC-IV to train and evaluate machine learning models for critical care prediction tasks.

Not ideal if you are a clinician looking for a ready-to-use predictive model or an individual without access to the MIMIC-IV clinical database.

clinical-research critical-care predictive-analytics healthcare-data hospital-management
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 17 / 25

How are scores calculated?

Stars

15

Forks

8

Language

Python

License

Last pushed

May 11, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/vincenzorusso3/mimic-iv-benchmarks"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.