使用文本挖掘技术确定全球卫生信息技术出版物的趋势

Q3 Medicine
M. Dastani, H. Ehtesham, Zohreh Javanmard, A. Sabahi, Fatemeh Bahador
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引用次数: 0

摘要

背景:由于各科学领域的论文发表量增加,分析专业期刊上发表的主题是重要和必要的。目的:本研究确定了全球卫生信息技术(HIT)领域出版物中已发表的主题。方法:本研究使用文本挖掘技术对HIT领域的文章进行分析。为此,使用适当的搜索策略,从2000年至2019年从PubMed和Scopus数据库中提取了162994篇文档。使用文本挖掘技术和潜在狄利克雷分配(Latent Dirichlet Allocation, LDA)主题建模算法来识别已发布的主题。Python编程语言也被用于运行文本挖掘算法。结果:本研究将与HIT相关的已发表文章的主题分为16个主题,其中最重要的是远程医疗和远程保健、HIT的采用、放疗计划技术、医学图像分析和循证医学。结论:hit相关发表文章的主题趋势结果代表了该领域的主题程度和跨学科性质。近年来,这一科学领域各种主题的出版物呈增长趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying the Trends of Global Publications in Health Information Technology Using Text-mining Techniques
Background: Due to the increased publication of articles in various scientific fields, analyzing the published topics in specialized journals is important and necessary. Objectives: This research has identified the published topics in global publications in the health information technology (HIT) field. Methods: This study analyzed articles in the field of HIT using text-mining techniques. For this purpose, 162,994 documents were extracted from PubMed and Scopus databases from 2000 to 2019 using the appropriate search strategy. Text mining techniques and the Latent Dirichlet Allocation (LDA) topic modeling algorithm were used to identify the published topics. Python programming language has also been used to run text-mining algorithms. Results: This study categorized the subject of HIT-related published articles into 16 topics, the most important of which were Telemedicine and telehealth, Adoption of HIT, Radiotherapy planning techniques, Medical image analysis, and Evidence-based medicine. Conclusions: The results of the trends of subjects of HIT-related published articles represented the thematic extent and the interdisciplinary nature of this field. The publication of various topics in this scientific field has shown a growing trend in recent years.
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来源期刊
Shiraz E Medical Journal
Shiraz E Medical Journal Medicine-Medicine (all)
CiteScore
1.00
自引率
0.00%
发文量
63
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