Accessibility settings

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73364, first published .
Laptop displaying world maps with data visualizations on net sentiment by region.

A Machine Learning Pipeline to Analyze Global Sentiment and Factors Influencing Retinoblastoma Treatment Hesitancy: Observational Infodemiology Study

A Machine Learning Pipeline to Analyze Global Sentiment and Factors Influencing Retinoblastoma Treatment Hesitancy: Observational Infodemiology Study

Emily S Wong   1, 2, 3, 4 * , FRCOphth ;   Richard W Choy   1, 2 * , MSc ;   Esther W Tang   1 , MBBS ;   Yuzhou Zhang   1 , PhD ;   Xiu Juan Zhang   1, 5 , PhD ;   Linbin Zhou   1 , PhD ;   Wai Kit Chu   1, 4 , DPhil ;   Li Jia Chen   1, 4, 6 , PhD ;   Clement C Tham   1, 2, 3, 4, 6 , FRCOphth ;   Chi Pui Pang   1, 4 , DPhil ;   Jason C Yam   1, 2, 3, 4, 6 , MD

1 Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

2 Hong Kong Eye Hospital, Hong Kong, China (Hong Kong)

3 Department of Ophthalmology, Hong Kong Children’s Hospital, Hong Kong, China (Hong Kong)

4 Hong Kong Hub of Paediatric Excellence, Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

5 Department of Ophthalmology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)

6 Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, Hong Kong, China (Hong Kong)

*these authors contributed equally

Corresponding Author:

  • Jason C Yam, MD
  • Department of Ophthalmology and Visual Sciences
  • Chinese University of Hong Kong
  • 147K Argyle Street
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 3943 5815
  • Email: yamcheuksing@cuhk.edu.hk