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首页> 外文期刊>Psychiatric annals >Natural Language Processing: Opportunities and Challenges for Patients, Providers, and Hospital Systems
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Natural Language Processing: Opportunities and Challenges for Patients, Providers, and Hospital Systems

机译：自然语言处理：患者，提供者和医院系统的机遇和挑战

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摘要

In medicine, language, such as "history" of present illness and "chief complaints," is used to understand patients' experience. Language is a rich source of data by which physicians make inferences, build therapeutic alliances, document formulations in the electronic health record, and care for patients. In psychiatry, language is the main source of data as there are no objective laboratory tests for diagnosis of psychiatric illness. It is also a therapeutic tool in psychotherapy. There now exist computer-based automated approaches to language analysis that can serve as tools for diagnosis, documentation, and treatment. Here, we review the history of natural language processing and provide examples of its use in psychiatry, such as psychosis prediction and detection of intoxication, and in extraction of information from psychiatric portions of the electronic health record. We also review future directions for studying discourse (and turn-taking), and potential applications of automated analysis to concurrent modes of communication, including prosody, pauses, face expression, and gesture.
机译：在医学中，语言，如“历史”的目前疾病和“首席投诉”，用于了解患者的经验。语言是一个丰富的数据来源，医生在电子健康记录中制定推论，建立治疗联盟，文件制剂，并为患者提供护理。在精神病学中，语言是数据的主要来源，因为没有客观的实验室测试，用于诊断精神疾病。它也是心理治疗的治疗工具。现在存在基于计算机的自动化方法来语言分析，可以作为诊断，文档和治疗的工具。在这里，我们审查了自然语言处理的历史，并提供了在精神病学中使用的例子，例如精神病预测和醉酒的检测，以及从电子健康记录的精神科学部分提取信息。我们还审查了学习话语（以及轮回）的未来方向，以及自动分析对并发沟通模式的潜在应用，包括韵律，暂停，面部表达和手势。

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