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©The Author(s) 2023.
World J Gastroenterol. Sep 21, 2023; 29(35): 5138-5153
Published online Sep 21, 2023. doi: 10.3748/wjg.v29.i35.5138
Published online Sep 21, 2023. doi: 10.3748/wjg.v29.i35.5138
Figure 3 Graphical representation of the prediction model variables according to importance of scale.
A: Variables of the final (iterated) auto-machine learning prediction model are ordered by scale of importance; B and C: Precoat diagram showing robust positive and negative prediction (3/81 patient cases were misclassified as microlithiasis and not other-acute pancreatitis). Gamma-GT: Gamma-glutamyl transpeptidase; AST: Aspartate aminotransferase; GOT: Glutamic oxalacetic transaminases; ALT: Alanine transaminase; GPT: Glutamic pyruvic transaminase; LDH: Lactate dehydrogenase; RDW: Red blood cell distribution width.
- Citation: Sirtl S, Żorniak M, Hohmann E, Beyer G, Dibos M, Wandel A, Phillip V, Ammer-Herrmenau C, Neesse A, Schulz C, Schirra J, Mayerle J, Mahajan UM. Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology. World J Gastroenterol 2023; 29(35): 5138-5153
- URL: https://www.wjgnet.com/1007-9327/full/v29/i35/5138.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i35.5138