Work

Predicting time-to-intubation after critical care admission using machine learning and cured fraction information

Year: 2024

Type: article

Source: Artificial Intelligence in Medicine

DOI: 10.1016/j.artmed.2024.102817

Authors: Michela Venturini, Ingrid Van Keilegom, Wouter De Corte, Celine Vens

Institutions: IMEC, KU Leuven, AZ Groeninge

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Fonds De La Recherche Scientifique - FNRS, Fonds Wetenschappelijk Onderzoek, Vlaamse regering

Awards: G2834614862, Learning from time-to-event interactions: towards smart alarms in a hospital setting, G6312143688

OpenAlex ID: W4392024508

FWCI: 1.179

Cites: 59

Cited by: 8

Related to: 10