Logo Lanfrica

Luc-baudoin237/ml-respiratory-complications

Domain:

healthcare

Record type:

paper
Creator:
Luc
Host:
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:

Languages

Licenses