自然语言处理在药理学中的研究进展。

IF 19.3 1区 医学 Q1 PHARMACOLOGY & PHARMACY
Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva, Jovana Dobreva, Milos Jovanovik, Matej Klemen, Aleš Žagar, Marko Robnik-Šikonja
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引用次数: 1

摘要

自然语言处理(NLP)是人工智能的一个领域,它应用信息技术来处理人类语言,并在一定程度上理解它,并将其用于各种应用。这一领域在过去几年中得到了迅速发展,现在使用现代的深度神经网络变体从大型文本语料库中提取相关模式。本工作的主要目的是调查NLP在药理学领域的最新应用。正如我们的工作所表明的,NLP是一种与药理学高度相关的信息提取和处理方法。它已经被广泛使用,从智能搜索成千上万的医疗文件到在社交媒体上寻找对抗性药物相互作用的痕迹。我们将我们的报道分为五类来调查现代NLP:方法论、通常处理的任务、相关的文本数据、知识库和有用的编程库。我们将这五个类别中的每一个划分为适当的子类别,描述它们的主要属性和思想,并以表格形式总结它们。由此产生的调查提出了该地区的全面概述,对从业者和感兴趣的观察者有用。意义声明:这项工作的主要目的是调查NLP在药理学领域的最新应用,以便在过去几年中发生的快速发展之后,对该领域的现状提供全面的概述。结果调查将对该领域的实践者和感兴趣的观察者有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Natural Language Processing in Pharmacology.

Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understand it to a certain degree, and use it in various applications. This area has rapidly developed in the past few years and now employs modern variants of deep neural networks to extract relevant patterns from large text corpora. The main objective of this work is to survey the recent use of NLP in the field of pharmacology. As our work shows, NLP is a highly relevant information extraction and processing approach for pharmacology. It has been used extensively, from intelligent searches through thousands of medical documents to finding traces of adversarial drug interactions in social media. We split our coverage into five categories to survey modern NLP: methodology, commonly addressed tasks, relevant textual data, knowledge bases, and useful programming libraries. We split each of the five categories into appropriate subcategories, describe their main properties and ideas, and summarize them in a tabular form. The resulting survey presents a comprehensive overview of the area, useful to practitioners and interested observers. SIGNIFICANCE STATEMENT: The main objective of this work is to survey the recent use of NLP in the field of pharmacology in order to provide a comprehensive overview of the current state in the area after the rapid developments that occurred in the past few years. The resulting survey will be useful to practitioners and interested observers in the domain.

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来源期刊
Pharmacological Reviews
Pharmacological Reviews 医学-药学
CiteScore
34.70
自引率
0.50%
发文量
40
期刊介绍: Pharmacological Reviews is a highly popular and well-received journal that has a long and rich history of success. It was first published in 1949 and is currently published bimonthly online by the American Society for Pharmacology and Experimental Therapeutics. The journal is indexed or abstracted by various databases, including Biological Abstracts, BIOSIS Previews Database, Biosciences Information Service, Current Contents/Life Sciences, EMBASE/Excerpta Medica, Index Medicus, Index to Scientific Reviews, Medical Documentation Service, Reference Update, Research Alerts, Science Citation Index, and SciSearch. Pharmacological Reviews offers comprehensive reviews of new pharmacological fields and is able to stay up-to-date with published content. Overall, it is highly regarded by scholars.
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