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

Infodemiology and Infoveillance (1275) Ontologies, Classifications, and Coding (225) Obstetrics, Gynecology, and Reproductive Medicine (197) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1571) Health Services Research (410) Health Care Quality and Health Services Research (247) New Methods (909)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25028, first published .
A Determinants-of-Fertility Ontology for Detecting Future Signals of Fertility Issues From Social Media Data: Development of an Ontology

A Determinants-of-Fertility Ontology for Detecting Future Signals of Fertility Issues From Social Media Data: Development of an Ontology

A Determinants-of-Fertility Ontology for Detecting Future Signals of Fertility Issues From Social Media Data: Development of an Ontology

Authors of this article:

Ji-Hyun Lee1 Author Orcid Image ;   Hyeoun-Ae Park2 Author Orcid Image ;   Tae-Min Song3 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Ji-Hyun Lee   1 , RN, PhD ;   Hyeoun-Ae Park   2 , RN, PhD ;   Tae-Min Song   3 , PhD

1 Nurse's Office, Yeongdeok High School, Gyeonggi-do, Republic of Korea

2 College of Nursing and Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea

3 Department of Health Management, Samyook University, Seoul, Republic of Korea

Corresponding Author:

  • Hyeoun-Ae Park, RN, PhD
  • College of Nursing and Research Institute of Nursing Science
  • Seoul National University
  • 103 Daehak-ro, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 27408827
  • Fax: 82 27661852
  • Email: hapark@snu.ac.kr