使用自然语言处理和深度学习进行自主乳房重建的情感分析
Aesthetic surgery journal. Open forum
|December 26, 2025
概括
患者评论显示,与乳房重建的横向直肠腹部肌皮层 (TRAM) 和腰背部 (LD) 板相比,深下腹膜穿孔器 (DIEP) 板具有更高的积极情绪和快乐. 这种分析提供了对现实世界患者体验的见解.
科学领域:
- 整形外科 整形外科 整形外科
- 自然语言处理自然语言处理.
- 患者报告的结果
背景情况:
- 自体板越来越多地用于乳房切除术后的重建.
- 公共论坛提供了广泛的患者叙述,适用于自然语言处理 (NLP) 分析.
- 罗伯塔模型可以分析患者生成的文本数据.
研究的目的:
- 为了评估患者对自主重建的情绪和情绪,使用深下部上胃穿孔器 (DIEP),横向直肠腹部肌肤 (TRAM) 和背脊 (LD) 片.
- 为了比较患者报告的不同类型的片体验.
主要方法:
- 从RealSelf收集的患者评论参考了DIEP,TRAM或LD板.
- 应用了两个NLP模型:一种二元情感分类器 (正/负) 和一种情感分类器 (恐惧,悲伤,愤怒,厌恶,中立,惊喜,快乐).
- 标记每个评论以最高得分的情绪.
主要成果:
- 分析了212个职位,153个DIEP,20个TRAM,39个LD.
- DIEP板显示了最高的平均积极情绪 (0.627),而TRAM板显示了最低的 (0.517).
- 快乐是DIEP (68/153) 和TRAM (7/20) 重建中最常见的情感. 最常见的是"中立"的LD片评价 (9/39).
结论:
- 对患者评论的NLP分析表明,DIEP板是最受讨论的,并且与TRAM或LD相比具有更大的积极情绪有关.
- 情感概况显示,对于DIEP,主要是快乐的叙述,对于LD中立,对于TRAM的情绪不那么积极.
- 这种NLP方法捕捉了大规模的真实世界患者体验,补充了传统的结果研究.
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