Estimating Probability for Esophageal Obstruction: A Diagnostic Decision Support Tool Applying Machine Learning to Functional Lumen Imaging Probe Panometry

BACKGROUND/AIMS: This study aimed to develop a diagnostic tool using machine learning to apply functional luminal imaging probe (FLIP) panometry data to determine the probability of esophagogastric junction (EGJ) obstruction as determined using the Chicago Classification version 4.0 (CCv4.0) and hig...

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Detalles Bibliográficos
Autores principales: Schauer, Jacob M, Kou, Wenjun, Prescott, Jacqueline E, Kahrilas, Peter J, Pandolfino, John E, Carlson, Dustin A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Neurogastroenterology and Motility 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577577/
https://www.ncbi.nlm.nih.gov/pubmed/36250364
http://dx.doi.org/10.5056/jnm21239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577577/
https://www.ncbi.nlm.nih.gov/pubmed/36250364
http://dx.doi.org/10.5056/jnm21239

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