研究自然语言处理技术在教育和医疗保健领域

Vijaya Kanaparthi
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引用次数: 2

摘要

自然语言处理是人工智能的一个分支,目前被用于对非结构化数据进行分类。虽然自然语言处理在许多领域都被发现,但这些算法目前在教育和医疗保健领域表现出色。医疗保健行业已经发现了自然语言处理模型的各种用途。这些算法能够分析来自临床记录的大量非结构化数据,使医疗保健专业人员更容易识别有风险的患者并分析消费者对医疗保健的看法。在教育领域,研究人员正在利用自然语言处理模型来提高学生的学业成绩、阅读理解和评估学生评价的公平性。这两个领域都能够找到自然语言模型处理模型的使用。然而,一些商业领袖担心自然语言处理。本综述旨在探讨自然语言处理在医疗保健和教育领域的各种用途,以确定这些模型在这两个领域的利弊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining Natural Language Processing Techniques in the Education and Healthcare Fields
Natural language processing is a branch of artificial intelligence currently being used to classify unstructured data. While natural language processing is found throughout several fields, these algorithms are currently being excelled in the education and healthcare fields. The healthcare industry has found various uses of natural language processing models. These algorithms are capable of analyzing large amounts of unstructured data from clinical notes, making it easier for healthcare professionals to identify at-risk patients and analyze consumer healthcare perception. In the education field, researchers are utilizing natural language processing models to enhance student academic success, reading comprehension, and to evaluate the fairness of student evaluations. Both fields have been able to find use of natural language model processing models. Some business leaders, however, are fearful of natural language processing. This review seeks to explore the various uses of natural language processing in the healthcare and education fields to determine the benefit and disadvantages these models have on both fields.
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