Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71687, first published .
Detecting Redundant Health Survey Questions by Using Language-Agnostic Bidirectional Encoder Representations From Transformers Sentence Embedding: Algorithm Development Study

Detecting Redundant Health Survey Questions by Using Language-Agnostic Bidirectional Encoder Representations From Transformers Sentence Embedding: Algorithm Development Study

Detecting Redundant Health Survey Questions by Using Language-Agnostic Bidirectional Encoder Representations From Transformers Sentence Embedding: Algorithm Development Study

Authors of this article:

Sunghoon Kang1 Author Orcid Image ;   Hyewon Park1 Author Orcid Image ;   Ricky Taira2 Author Orcid Image ;   Hyeoneui Kim1 Author Orcid Image

Sunghoon Kang   1 , MS ;   Hyewon Park   1 , BSN, RN ;   Ricky Taira   2 , PhD ;   Hyeoneui Kim   1 , RN, PhD

1 College of Nursing, Seoul National University, Seoul, Republic of Korea

2 The Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

Corresponding Author:

  • Hyeoneui Kim, RN, PhD
  • College of Nursing
  • Seoul National University
  • 103 Daehak-ro, Jongno-gu
  • Seoul 03080
  • Republic of Korea
  • Phone: 82 027408483
  • Email: ifilgood@snu.ac.kr