TY -非盟的棕褐色,明易盟——吴作栋,Charlene Enhui AU - Tan,庆熙鸿PY - 2021 DA - 2021/11/25 TI -当代英语疼痛描述符作为发现社会媒体使用人工智能和情感分析算法:横断面研究乔- Res JMIR形式SP - e31366六世- 5 - 11 KW -疼痛描述符KW -社会媒体KW -人工智能KW -情感分析KW -麦吉尔疼痛问卷AB -背景:疼痛描述是卫生保健的基础。麦吉尔疼痛问卷(MPQ)已被验证为多维测量疼痛的工具;然而，它的使用在很大程度上依赖于语言能力。虽然MPQ自创立以来一直保持不变，但从那时起，英语已经发生了重大变化。互联网和社交媒体的出现使得大量公开数据的产生成为可能，从而使语言分析达到了前所未有的规模。目的:本研究的目的是利用社交媒体数据来检验现有MPQ中疼痛描述词的相关性，识别社交媒体用户中新的当代英语疼痛描述词，并建议对新的MPQ进行修改，以备将来的验证和测试。方法:提取2019年1月1日至2019年12月31日社交媒体平台上的所有帖子。人工智能和情感分析算法(Crystalace和CrystalFeel)被用来测量文本的情感属性，包括讽刺、愤怒、恐惧、悲伤、快乐和情感。Word2Vec用于识别与MPQ中原始描述符相关的新疼痛描述符。计数和疼痛强度的分析形成了提出新的疼痛描述符和确定疼痛描述符在每个子类中的顺序的基础。 Results: A total of 118 new associated words were found via Word2Vec. Of these 118 words, 49 (41.5%) words had a count of at least 110, which corresponded to the count of the bottom 10% (8/78) of the original MPQ pain descriptors. The count and intensity of pain descriptors were used to formulate the inclusion criteria for a new pain questionnaire. For the suggested new pain questionnaire, 11 existing pain descriptors were removed, 13 new descriptors were added to existing subclasses, and a new Psychological subclass comprising 9 descriptors was added. Conclusions: This study presents a novel methodology using social media data to identify new pain descriptors and can be repeated at regular intervals to ensure the relevance of pain questionnaires. The original MPQ contains several potentially outdated pain descriptors and is inadequate for reporting the psychological aspects of pain. Further research is needed to examine the reliability and validity of the revised MPQ. SN - 2561-326X UR - https://formative.www.mybigtv.com/2021/11/e31366 UR - https://doi.org/10.2196/31366 UR - http://www.ncbi.nlm.nih.gov/pubmed/34842554 DO - 10.2196/31366 ID - info:doi/10.2196/31366 ER -