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Radiomics-Based Machine Learning Models Improve Acute Pancreatitis Severity Prediction

(1) Acute pancreatitis (AP) is a medical emergency associated with high mortality rates. Early and accurate prognosis assessment during admission is crucial for optimizing patient management and outcomes. This study seeks to develop robust radiomics-based machine learning (ML) models to classify the...

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Autori principali: Ahmet Yasin Karkas, Gorkem Durak, Onder Babacan, Timurhan Cebeci, Emre Uysal, Halil Ertugrul Aktas, Mehmet Ilhan, Alpay Medetalibeyoglu, Ulas Bagci, Mehmet Semih Cakir, Sukru Mehmet Erturk
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-04-01
Serie:AI
Soggetti:
acute pancreatitis (AP)
acute pancreatitis severity
contrast-enhanced computed tomography (CECT)
machine learning
radiomics
Accesso online:https://www.mdpi.com/2673-2688/6/4/80
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