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基于人工智能的情绪分析与宫支臂疗法相关的在线讨论
R Kouzy1, M K Rooney1, E E Cha1
1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Technical innovations & patient support in radiation oncology
|December 31, 2025
概括
分析在线患者讨论揭示了宫支臂治疗的副作用,突出显示了肠道和尿路领域的重大问题. 这项研究改善了患者教育和宫癌治疗的临床支持.
科学领域:
- 在瘤学瘤学.
- 数字健康数字健康
- 患者报告的结果
背景情况:
- 宫支臂疗法是一种关键的癌症治疗方法.
- 传统的生活质量评估可能无法完全捕捉患者的体验.
- 在线患者论坛提供了丰富的未经过的患者叙事来源.
研究的目的:
- 用人工智能 (AI) 分析患者对宫支臂治疗的讨论.
- 识别独特的患者体验,情绪反应和应对策略.
- 揭示以前没有记录的担忧和对生活质量的洞察力.
主要方法:
- 从r/宫癌 (Nov 2020-Jan 2024) 中提取了898条帖子/评论.
- 使用罗伯塔深度学习模型进行情绪分析 (积极,消极,中立).
- 应用关键词标记来识别患者讨论中的主导主题.
主要成果:
- 总体情绪:40.4%是积极的,29.9%是消极的,29.7%是中立的.
- 在"肠道领域" (51.2%),"尿道领域" (46.8%),"疼痛" (43.4%),"疲劳" (42.4%) 和"麻醉" (41.4%) 中,负面情绪最高.
- "恢复"和"生存"的讨论主要是积极的; "性"和"心理健康"显示出平衡的情绪.
结论:
- 在线论坛分析为宫支臂治疗患者的经验提供了宝贵的见解.
- 这些发现突出了改善患者教育的关键领域,特别是关于肠道和尿路副作用的关键领域.
- 结果可以增强知情同意和临床管理患者关注的问题.
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