通过自然语言处理评估癌症众筹故事中未满足的医疗和社会需求

IF 22.5 1区医学 Q1 ONCOLOGY

JAMA Oncology Pub Date : 2024-10-10 DOI:10.1001/jamaoncol.2024.4412

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

引用次数: 0

摘要

这项横断面研究使用大型自然语言处理模型，根据美国癌症相关筹款故事，研究未得到满足的医疗和社会需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

JAMA Oncology Medicine-Oncology

自引率

1.80%

发文量

423

期刊介绍： JAMA Oncology is an international peer-reviewed journal that serves as the leading publication for scientists, clinicians, and trainees working in the field of oncology. It is part of the JAMA Network, a collection of peer-reviewed medical and specialty publications.