Evaluation of the models generated from clinical features and deep learning-based segmentations: Can thoracic CT on admission help us to predict hospitalized COVID-19 patients who will require intensive care?

BACKGROUND: The aim of the study was to predict the probability of intensive care unit (ICU) care for inpatient COVID-19 cases using clinical and artificial intelligence segmentation-based volumetric and CT-radiomics parameters on admission. METHODS: Twenty-eight clinical/laboratory features, 21 vol...

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Detalles Bibliográficos
Autores principales: Gülbay, Mutlu, Baştuğ, Aliye, Özkan, Erdem, Öztürk, Büşra Yüce, Mendi, Bökebatur Ahmet Raşit, Bodur, Hürrem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172094/
https://www.ncbi.nlm.nih.gov/pubmed/35672719
http://dx.doi.org/10.1186/s12880-022-00833-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172094/
https://www.ncbi.nlm.nih.gov/pubmed/35672719
http://dx.doi.org/10.1186/s12880-022-00833-2

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