Incorporating evidence into mental health Q&A: a novel method to use generative language models for validated clinical content extraction

IF 2.9 4区管理学 Q2 COMPUTER SCIENCE, CYBERNETICS

Behaviour & Information Technology Pub Date : 2024-03-03 DOI:10.1080/0144929x.2024.2321959

Ksenia Kharitonova, David Pérez-Fernández, Javier Gutiérrez-Hernando, Asier Gutiérrez-Fandiño, Zoraida Callejas, David Griol

引用次数: 0

Abstract

Generative language models have changed the way we interact with computers using natural language. With the release of increasingly advanced GPT models, systems are able to correctly respond to que...

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将证据纳入心理健康问答：使用生成语言模型进行有效临床内容提取的新方法

生成语言模型改变了我们使用自然语言与计算机交互的方式。随着越来越先进的 GPT 模型的发布，系统能够正确地对问题做出反应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behaviour & Information Technology 工程技术-计算机：控制论

CiteScore

7.70

自引率

8.10%

发文量

159

审稿时长

5 months

期刊介绍： Behaviour & Information Technology (BIT) puts people before technology. As such it deviates from other related journals. It is the primary scientific venue for peer-reviewed publications on human-centred IT. BIT reports original research studies, practical case studies, and thoughtful articles on: • usability and user experience (UX) • human computer interaction (HCI) • human-centred and user-centred design • the social, business and human aspects of the digital world. The Journal attracts authors and readers from a variety of disciplines (e.g., usability, user experience, psychology, ergonomics, computer science, and sociology), originating from both academics and industry. All papers are subject to initial appraisal by the Editor, and, if found suitable for further consideration, will undertake rigorous double blind peer review by independent, anonymous expert referees.