自然语言处理用于大规模分析湿疹和牛皮 社交媒体评论
Jack A Cummins1, Guohai Zhou2, Vinod E Nambudiri2
1Manchester Essex Regional High School, Manchester, MA.
概括
在Reddit上的患者讨论揭示了对湿疹和牛皮治疗的兴趣和情绪的不断变化. 像杜皮卢马布这样的新疗法显示参与度增加,而一些较旧的治疗方法看到了兴趣的下降和情绪得分的下降.
科学领域:
- 皮肤病学和计算社会科学
- 分析患者生成的在线数据.
背景情况:
- 像Reddit这样的社交媒体平台越来越多地被皮肤病患者使用.
- 在Reddit上的湿疹和牛皮社区代表了研究患者对治疗的观点的重要用户基础.
研究的目的:
- 通过使用自然语言处理 (NLP) 分析患者对常见湿疹和牛皮治疗的兴趣和情绪.
- 随着时间的推移,在相关的Reddit社区中跟踪治疗讨论和药物不良反应提及的变化.
主要方法:
- 在2014-2020年期间使用NLP工具收集和处理了r/eczema和r/psoriasis分支机构的评论.
- 量化了评论量和分析了与各种牛皮和湿疹治疗相关的情绪评分.
- 追踪特定治疗方法的讨论量趋势,包括生物药物和较旧的治疗方法.
主要成果:
- 对于dupilumab的评论量在r/eczema中增加,而抗菌疗法和普得尼松则下降.
- 在r/psoriasis中,新的治疗方法在FDA批准后的讨论增加,与较旧疗法的提及减少形成鲜明对比.
- 一些牛皮治疗方法的情绪评分在批准后下降,基于calcipotriene的泡显示出比apremilast更高的情绪.
结论:
- 患者对湿疹和牛皮治疗的兴趣和情绪是动态的,受治疗批准和感知疗效的影响.
- 在线患者社区为治疗趋势和患者体验提供了宝贵的见解,突出了进一步临床研究的领域.
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