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

Patients are increasingly participating in breast cancer therapy discussions with a web-based community. While discussions surrounding mastectomy became increasingly positive, BCS discussions did not show the same trend. This mirrors national clinical trends in the United States, with the increasing use of mastectomy over BCS in early-stage breast cancer. Recognizing sentiments and emotions surrounding the decision-making process can facilitate patient-centric and emotionally sensitive treatment recommendations.

Authors

Institutions

Publication Details

Journal
JMIR Cancer
Published
2024-11-29
DOI
https://doi.org/10.2196/52886
Citations
4
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
2.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Nicolas D. Prionas, Lisa Singer, Daphna Y. Spiegel, Julian C. Hong et al.
4 citations
JMIR Cancer
Mental Health via Writing
2.57
article

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

Nicolas D. Prionas, Lisa Singer, Daphna Y. Spiegel, Julian C. Hong, Gianna Yan, Travis Zack, Isabel D. Friesner, Julia Willcox, Catherine C. Park, William Zhang
article en
4 citations

Abstract

Patients are increasingly participating in breast cancer therapy discussions with a web-based community. While discussions surrounding mastectomy became increasingly positive, BCS discussions did not show the same trend. This mirrors national clinical trends in the United States, with the increasing use of mastectomy over BCS in early-stage breast cancer. Recognizing sentiments and emotions surrounding the decision-making process can facilitate patient-centric and emotionally sensitive treatment recommendations.

JMIR CancerVol. 11
Beth Israel Deaconess Medical Center (US), University of California, San Francisco (US)
Conquer Cancer Foundation, American Society of Clinical Oncology, University of California, San Francisco
Openalex Percentile: Top 10%
Mental Health via Writing
2.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study — Nicolas D. Prionas, Lisa Singer, et al. · JMIR Cancer (2024) | TGRS Research Map | TGRS