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Title:

Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology.

Document type:
Journal Article
Author(s):
Sirtl, Simon; Żorniak, Michal; Hohmann, Eric; Beyer, Georg; Dibos, Miriam; Wandel, Annika; Phillip, Veit; Ammer-Herrmenau, Christoph; Neesse, Albrecht; Schulz, Christian; Schirra, Jörg; Mayerle, Julia; Mahajan, Ujjwal Mukund
Abstract:
BACKGROUND: Biliary microlithiasis/sludge is detected in approximately 30% of patients with idiopathic acute pancreatitis (IAP). As recurrent biliary pancreatitis can be prevented, the underlying aetiology of IAP should be established. AIM: To develop a machine learning (ML) based decision tool for the use of endosonography (EUS) in pancreatitis patients to detect sludge and microlithiasis. METHODS: We retrospectively used routinely recorded clinical and laboratory parameters of 218 consecutive...     »
Journal title abbreviation:
World J Gastroenterol
Year:
2023
Journal volume:
29
Journal issue:
35
Pages contribution:
5138-5153
Fulltext / DOI:
doi:10.3748/wjg.v29.i35.5138
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37744295
Print-ISSN:
1007-9327
TUM Institution:
Klinik und Poliklinik für Innere Medizin II, Gastroenterologie (Prof. Schmid)
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