Establishment of a non-invasive prediction model for the risk of oesophageal variceal bleeding using radiomics based on CT.
Sign Up to like & getrecommendations! Published in 2022 at "Clinical radiology"
DOI: 10.1016/j.crad.2022.01.046
Abstract: AIM To establish a non-invasive prediction model for the risk of oesophageal variceal bleeding (OVB) using radiomics based on computed tomography (CT). MATERIALS AND METHODS The study included 317 patients, 69 of whom were OVB-positive… read more here.
Keywords: model risk; prediction model; invasive prediction; non invasive ... See more keywords
Machine Learning-Based Non-Invasive Prediction of Metabolic Dysfunction-Associated Steatohepatitis in Obese Patients: A Retrospective Study
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DOI: 10.3390/diagnostics15091096
Abstract: Objectives: We aimed to develop and validate machine learning (ML) models that integrate clinical and laboratory data for the non-invasive prediction of metabolic dysfunction-associated steatohepatitis (MASH) in an obese population. Methods: In this retrospective study,… read more here.
Keywords: cohort; machine learning; machine; validation ... See more keywords
Non-invasive prediction model for high-risk esophageal varices in the Chinese population
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DOI: 10.3748/wjg.v26.i21.2839
Abstract: BACKGROUND There are two types of esophageal varices (EVs): high-risk EVs (HEVs) and low-risk EVs, and HEVs pose a greater threat to patient life than low-risk EVs. The diagnosis of EVs is mainly conducted by… read more here.
Keywords: risk; invasive prediction; prediction model; model ... See more keywords