Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment

Author:

Aknin Eliel1,Larey Ariel2,Caldwell Julie M.3,Collins Margaret H.4,Rothenberg Marc E.3,Savir Yonatan5

Affiliation:

1. Faculty of Medicine & Industrial Engineering, Technion,Dept. of Physiology, Biophysics and Systems Biology,Haifa,Israel

2. Faculty of Medicine & Computer Science, Technion,Dept. of Physiology, Biophysics and Systems Biology,Haifa,Israel

3. University of Cincinnati College of Medicine,Division of Allergy and Immunology, Cincinnati Children’s Hospital Medical Center,Dept. of Pediatrics,Cincinnati,OH,USA

4. University of Cincinnati College of Medicine,Division of Pathology and Laboratory Medicine, Cincinnati Children’s Hospital Medical Center,Dept. of Pediatrics,Cincinnati,OH,USA

5. Faculty of Medicine, Technion,Dept. of Physiology, Biophysics and Systems Biology,Haifa,Israel

Publisher

IEEE

Reference29 articles.

1. Designing voice user interfaces: Principles of conversational experiences;pearl;O’Reilly Media Inc,2016

2. ACG Clinical Guideline: Evidenced Based Approach to the Diagnosis and Management of Esophageal Eosinophilia and Eosinophilic Esophagitis (EoE)

3. Estimating individual treatment effect: generalization bounds and algorithms;shalit;Int Conference on Machine Learning,2017

4. How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

5. Proton pump inhibitor-responsive esophageal eosinophilia: a historical perspective on a novel and evolving entity;molina-infante;Revista espanola de enfermedades digestivas organo oficial de la Sociedad Espanola de Patologia Digestiva,2015

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