利用语义文本相似度关联症状量表
计算与语言
2023-09-12 v1 人工智能
摘要
长期以来已开发出大量症状量表用于测量临床症状，但这种多样性导致了若干长期存在的问题。最显著的是，来自不同场景与研究的结果不可比较，这限制了可复现性。在此，我们提出一种利用语义文本相似度（STS）关联先前不一致症状量表中症状与评分的人工智能（AI）方法。我们测试了四个预训练 STS 模型筛选数千对症状描述以寻找相关内容的能力——这是一项通常需专家小组完成的艰巨任务。这些模型被要求对来自 16 个国际数据源的 6607 名参与者，在四种不同量表上预测症状严重程度。STS 方法在五项任务中达到 74.8% 的准确率，优于其他被测模型。本工作表明，融入上下文语义信息可辅助专家决策过程，为通用及疾病特异性临床评估带来收益。
引用
@article{arxiv.2309.04607,
title = {Linking Symptom Inventories using Semantic Textual Similarity},
author = {Eamonn Kennedy and Shashank Vadlamani and Hannah M Lindsey and Kelly S Peterson and Kristen Dams OConnor and Kenton Murray and Ronak Agarwal and Houshang H Amiri and Raeda K Andersen and Talin Babikian and David A Baron and Erin D Bigler and Karen Caeyenberghs and Lisa Delano-Wood and Seth G Disner and Ekaterina Dobryakova and Blessen C Eapen and Rachel M Edelstein and Carrie Esopenko and Helen M Genova and Elbert Geuze and Naomi J Goodrich-Hunsaker and Jordan Grafman and Asta K Haberg and Cooper B Hodges and Kristen R Hoskinson and Elizabeth S Hovenden and Andrei Irimia and Neda Jahanshad and Ruchira M Jha and Finian Keleher and Kimbra Kenney and Inga K Koerte and Spencer W Liebel and Abigail Livny and Marianne Lovstad and Sarah L Martindale and Jeffrey E Max and Andrew R Mayer and Timothy B Meier and Deleene S Menefee and Abdalla Z Mohamed and Stefania Mondello and Martin M Monti and Rajendra A Morey and Virginia Newcombe and Mary R Newsome and Alexander Olsen and Nicholas J Pastorek and Mary Jo Pugh and Adeel Razi and Jacob E Resch and Jared A Rowland and Kelly Russell and Nicholas P Ryan and Randall S Scheibel and Adam T Schmidt and Gershon Spitz and Jaclyn A Stephens and Assaf Tal and Leah D Talbert and Maria Carmela Tartaglia and Brian A Taylor and Sophia I Thomopoulos and Maya Troyanskaya and Eve M Valera and Harm Jan van der Horn and John D Van Horn and Ragini Verma and Benjamin SC Wade and Willian SC Walker and Ashley L Ware and J Kent Werner and Keith Owen Yeates and Ross D Zafonte and Michael M Zeineh and Brandon Zielinski and Paul M Thompson and Frank G Hillary and David F Tate and Elisabeth A Wilde and Emily L Dennis},
journal= {arXiv preprint arXiv:2309.04607},
year = {2023}
}