Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52886, first published .
Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study

Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study

Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study

Daphna Y Spiegel   1 , MD, MS ;   Isabel D Friesner   2, 3, 4 , BA ;   William Zhang   2, 3, 4 , BA ;   Travis Zack   2, 4, 5 , MD, PhD ;   Gianna Yan   2, 3, 4 ;   Julia Willcox   1 , BS ;   Nicolas Prionas   2 , MD, PhD ;   Lisa Singer   2 , MD, PhD ;   Catherine Park   2 , MD ;   Julian C Hong   2, 3, 4 , MD, MS

1 Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

2 Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, United States

3 Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States

4 UCSF-UC Berkeley Joint Program in Computational Precision Health, San Francisco, CA, United States

5 Department of Medicine, University of California, San Francisco, San Francisco, CA, United States

Corresponding Author:

  • Daphna Y Spiegel, MD, MS
  • Department of Radiation Oncology
  • Beth Israel Deaconess Medical Center
  • Harvard Medical School
  • 330 Brookline Ave
  • Boston, MA, 02215
  • United States
  • Phone: 1 6176672345
  • Email: dspiege1@bidmc.harvard.edu