Published on in Vol 10, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37201, first published .
Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach

Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach

Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach

Adrian Ahne   1, 2 , PhD ;   Vivek Khetan   3 , MSc ;   Xavier Tannier   4 , Prof Dr ;   Md Imbesat Hassan Rizvi   5 , MSc ;   Thomas Czernichow   2 , PhD ;   Francisco Orchard   2 , MSc ;   Charline Bour   6 , MSc ;   Andrew Fano   3 , PhD ;   Guy Fagherazzi   6 , PhD

1 Center of Epidemiology and Population Health, Inserm, Hospital Gustave Roussy, Paris-Saclay University, Villejuif, France

2 Epiconcept Company, Paris, France

3 Accenture Labs, San Francisco, CA, United States

4 Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e-Santé, Inserm, University Sorbonne Paris Nord, Sorbonne University, Paris, France

5 Indian Institute of Science, Bengaluru, India

6 Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg

Corresponding Author:

  • Adrian Ahne, PhD
  • Center of Epidemiology and Population Health
  • Inserm, Hospital Gustave Roussy
  • Paris-Saclay University
  • 20 Rue du Dr Pinel
  • Villejuif, 94800
  • France
  • Phone: 33 142115386
  • Email: adrian.ahne@protonmail.com