AGARNER18 / Respiratory-Mortality

Predict respiratory patient mortality in ICU units using the MIMIC III database

mimic-iii r sql stacked-ensembles xgboost random-forest ranger support-vector-machines rpart neural-network decision-trees postgresql

Respiratory-Mortality

Predict respiratory patient mortality in ICU units using the MIMIC III database. PostgreSQL was used for feature engineering. AWS EC2 instance with Rstudio used to build a global dataset, data cleaning, and model building. Tableau and R used for visualization.

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Predict respiratory patient mortality in ICU units using the MIMIC III database

mimic-iii r sql stacked-ensembles xgboost random-forest ranger support-vector-machines rpart neural-network decision-trees postgresql

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Language:R 88.8%Language:PLpgSQL 6.6%Language:PLSQL 4.6%