This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Natural Language Processing (692) Clinical Informatics (1022)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37945, first published .
The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing

The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing

The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing

Authors of this article:

Deborah Chiavi1 Author Orcid Image ;   Christina Haag1, 2 Author Orcid Image ;   Andrew Chan3 Author Orcid Image ;   Christian Philipp Kamm3, 4 Author Orcid Image ;   Chloé Sieber1, 2 Author Orcid Image ;   Mina Stanikić1, 2 Author Orcid Image ;   Stephanie Rodgers1 Author Orcid Image ;   Caroline Pot5 Author Orcid Image ;   Jürg Kesselring6 Author Orcid Image ;   Anke Salmen3 Author Orcid Image ;   Irene Rapold1 Author Orcid Image ;   Pasquale Calabrese7 Author Orcid Image ;   Zina-Mary Manjaly8, 9 Author Orcid Image ;   Claudio Gobbi10, 11 Author Orcid Image ;   Chiara Zecca10, 11 Author Orcid Image ;   Sebastian Walther12 Author Orcid Image ;   Katharina Stegmayer12 Author Orcid Image ;   Robert Hoepner3 Author Orcid Image ;   Milo Puhan1 Author Orcid Image ;   Viktor von Wyl1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Lösch L, Zuiderent-Jerak T, Kunneman F, Syurina E, Bongers M, Stein M, Chan M, Willems W, Timen A. Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research 2023;25:e44461 View
  2. Haag C, Steinemann N, Ajdacic-Gross V, Schlomberg J, Ineichen B, Stanikić M, Dressel H, Daniore P, Roth P, Ammann S, Calabrese P, Kamm C, Kesselring J, Kuhle J, Zecca C, Puhan M, von Wyl V. Natural language processing analysis of the theories of people with multiple sclerosis about causes of their disease. Communications Medicine 2024;4(1) View