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Machine Learning Based Multi-Parameter Modeling for Prediction of Post-Inflammatory Lung Changes

<b>Objectives</b>: Prediction of lung function deficits following pulmonary infection is challenging and suffers from inaccuracy. We sought to develop machine-learning models for prediction of post-inflammatory lung changes based on COVID-19 recovery data. <b>Methods</b>: In the prospective CovILD s...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Gerlig Widmann, Anna Katharina Luger, Thomas Sonnweber, Christoph Schwabl, Katharina Cima, Anna Katharina Gerstner, Alex Pizzini, Sabina Sahanic, Anna Boehm, Maxmilian Coen, Ewald Wöll, Günter Weiss, Rudolf Kirchmair, Leonhard Gruber, Gudrun M. Feuchtner, Ivan Tancevski, Judith Löffler-Ragg, Piotr Tymoszuk
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-03-01
Schriftenreihe:Diagnostics
Schlagworte:
artificial intelligence
lung CT
quantification
COVID-19
Online-Zugang:https://www.mdpi.com/2075-4418/15/6/783
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