Litcius/Paper detail

Comparing Artificial Intelligence and Traditional Methods to Identify Factors Associated With Pediatric Asthma Readmission

Alexander H. Hogan, Michael Brimacombe, Maua Mosha, Glenn Flores

2021Academic Pediatrics22 citationsDOI

Topics & Concepts

Logistic regressionAsthmaMedicineProportional hazards modelReceiver operating characteristicEmergency medicineCohortRetrospective cohort studyArtificial neural networkPediatricsInternal medicineMachine learningComputer scienceHeart Failure Treatment and ManagementAsthma and respiratory diseasesMachine Learning in Healthcare
Comparing Artificial Intelligence and Traditional Methods to Identify Factors Associated With Pediatric Asthma Readmission | Litcius