Predictive machine learning model for 30-day hospital readmissions in a tertiary healthcare setting
The dataset and code used to develop and validate the predictive models are available from the corresponding author upon reasonable request. The implementation was conducted in R using the mlr3verse, pminternal, rms, dcurves, data.table, tidyverse, ranger and lightgbm packages, with Bayesian hyperparameter optimization via mlr3mbo.
Authors
- Sebastián Camerlingo
- C Cocucci (ORCID: https://orcid.org/0009-0000-4616-8835)
- Diego Halac
Institutions
- Hospital Universitario Austral (AR)
- Instituto de Efectividad Clínica y Sanitaria (AR)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf121
- Citations
- 2
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.69