Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders-Reference-Cited by-同舟云学术

Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders

Published:2022-12 Issue: Volume:134 Page:102435
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Halder Sourav,Yamasaki Jun,Acharya Shashank,Kou Wenjun,Elisha Guy,Carlson Dustin A.,Kahrilas Peter J.,Pandolfino John E.,Patankar Neelesh A.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference68 articles.

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3. Oesophageal high-resolution manometry: moving from research into clinical practice;Fox;Gut,2008

4. Achalasia: a new clinically relevant classification by high-resolution manometry;Pandolfino;Gastroenterology,2008

5. High-resolution manometry in clinical practice: utilizing pressure topography to classify oesophageal motility abnormalities;Pandolfino;Neurogastroenterol Motil,2009

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