Litcius/Paper detail

Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units

Igor Tona Peres, Sílvio Hamacher, Fernando Luiz Cyrino Oliveira, Fernando A. Bozza, Jorge I. Salluh

2022Anaesthesia Critical Care & Pain Medicine28 citationsDOI

Topics & Concepts

MedicineBrier scoreEmergency medicineIntensive care unitIntensive careLogistic regressionRetrospective cohort studyCohortIntensive care medicineInternal medicineStatisticsMathematicsSepsis Diagnosis and TreatmentIntensive Care Unit Cognitive DisordersMachine Learning in Healthcare
Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units | Litcius