- Title
- S101 Prevalence of Gastroparesis in Patients With Chronic Pancreatitis and Predictive Factors: A Novel Prediction Model Using Supervised Machine Learning
- Creators
- Daryl Ramai - University of UtahChun-Wei Pan - Cook County Health, Chicago, ILEmily Fellows - University of UtahYichen Wang - University of PennsylvaniaYuting Huang - Jacksonville CollegeIshani Shah - University of UtahCem Simsek - Hacettepe UniversityMarco Spadaccini - IRCCS Humanitas Research HospitalMarcello Maida - Università degli Studi di Enna KoreSaurabh Chandan - Creighton UniversityAntonio Facciorusso - University of FoggiaDavid Troendle - The University of Texas Southwestern Medical CenterJorge D. Machicado - University of Michigan–Ann Arbor
- Publication Details
- The American journal of gastroenterology, Vol.119(10S), pp.S73-S73
- Identifiers
- 991006121271502656
- Academic Unit
- Gastroenterology
- Language
- English
- Resource Type
- Journal article
Journal article
S101 Prevalence of Gastroparesis in Patients With Chronic Pancreatitis and Predictive Factors: A Novel Prediction Model Using Supervised Machine Learning
The American journal of gastroenterology, Vol.119(10S), pp.S73-S73
10/2024
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