ML pipeline for predicting in-hospital complications in respiratory disease patients — Douala General Hospital, Cameroon
# Machine Learning Pipeline — Respiratory Disease Complications
Reproducible analysis code for:
**Machine learning-based identification of clinical predictors of
in-hospital complications in patients hospitalised for respiratory
diseases: a retrospective cohort study from sub-Saharan Africa**
Fankoua LB, Drame A, Odhiambo R, Diouf O, Najjemba L.
BMC Pulmonary Medicine (under review), 2026.
## Requirements
Python 3.10+. Install dependencies: