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Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders.
Halder, Sourav; Yamasaki, Jun; Acharya, Shashank; Kou, Wenjun; Elisha, Guy; Carlson, Dustin A; Kahrilas, Peter J; Pandolfino, John E; Patankar, Neelesh A.
Afiliação
  • Halder S; Theoretical and Applied Mechanics Program, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
  • Yamasaki J; Department of Mechanical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
  • Acharya S; Department of Mechanical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
  • Kou W; Division of Gastroenterology and Hepatology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Elisha G; Department of Mechanical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
  • Carlson DA; Division of Gastroenterology and Hepatology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Kahrilas PJ; Division of Gastroenterology and Hepatology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Pandolfino JE; Division of Gastroenterology and Hepatology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Patankar NA; Theoretical and Applied Mechanics Program, McCormick School of Engineering, Northwestern University, Evanston, IL, USA; Department of Mechanical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA. Electronic address: n-patankar@northwestern.edu.
Artif Intell Med ; 134: 102435, 2022 12.
Article em En | MEDLINE | ID: mdl-36462900

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article