Work

Natural Language Processing–Assessed Unmet Medical and Social Needs in Cancer Crowdfunding Stories

Year: 2024

Type: article

Abstract: This cross-sectional study uses a large natural language processing model to examine unmet medical and social needs based on cancer-related fundraising stories in the US.

Source: JAMA Oncology

DOI: 10.1001/jamaoncol.2024.4412

Authors: Zhiyuan Zheng, Shaojun Yu, Farhad Islami, Matthew P. Banegas, Jingxuan Zhao, Jing Zhang, Fumiko Chino, K. Robin Yabroff

Institutions: American Cancer Society, Emory University, University of California San Diego, Memorial Sloan Kettering Cancer Center

Language: English

Topic: Economic and Financial Impacts of Cancer

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Cancer Institute

Award: Cancer Center Support Grant

OpenAlex ID: W4403299148

FWCI: 2.135

Cites: 3

Cited by: 6

Related to: 10