Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data

Abstract Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 patients. The prognostic performances of the machine learning (ML)-based models for predicting clinical outco...

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Bibliographische Detailangaben
Hauptverfasser: Seyed Salman Zakariaee, Negar Naderi, Mahdi Ebrahimi, Hadi Kazemi-Arpanahi
Format: Artikel
Sprache:English
Veröffentlicht: Nature Portfolio 2023-07-01
Schriftenreihe:Scientific Reports
Online Zugang:https://doi.org/10.1038/s41598-023-38133-6