Article

Comparison of machine-learning and logistic regression models to predict 30-day unplanned readmission: a development and validation study

2023-05-11

Abstract excerpt

We compared the predictive performance of gradient-boosted decision tree (GBDT), random forest (RF), deep neural network (DNN), and logistic regression (LR) with the least absolute shrinkage and selection operator (LASSO) for 30-day unplanned readmission, according to the number of predictor variables and presence/absence of blood-test results. We used electronic health records of patients discharged alive from 38...

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Literature Corpus work: 837c97a5-a94b-50e1-a792-32dfe5dbe383
DOI: 10.1101/2023.05.06.23289569

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