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Luc-baudoin237/ml-respiratory-complications

Domaine:

healthcare

Type de record:

paper
Créateur:
Luc
Hôte:
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:

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