Trends in biomedical informatics: automated topic analysis of JAMIA articles

Oxford University Press (OUP) - Tập 22 Số 6 - Trang 1153-1163 - 2015
Dong Han1,2, Shuang Wang1, Chao Jiang1,2, Xiaoqian Jiang1, Hyeoneui Kim1, Jimeng Sun3, Lucila Ohno‐Machado1
1Health System Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, 92093, USA
2School of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, 74135, USA
3School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, S30313, USA

Tóm tắt

Abstract

Biomedical Informatics is a growing interdisciplinary field in which research topics and citation trends have been evolving rapidly in recent years. To analyze these data in a fast, reproducible manner, automation of certain processes is needed. JAMIA is a “generalist” journal for biomedical informatics. Its articles reflect the wide range of topics in informatics. In this study, we retrieved Medical Subject Headings (MeSH) terms and citations of JAMIA articles published between 2009 and 2014. We use tensors (i.e., multidimensional arrays) to represent the interaction among topics, time and citations, and applied tensor decomposition to automate the analysis. The trends represented by tensors were then carefully interpreted and the results were compared with previous findings based on manual topic analysis. A list of most cited JAMIA articles, their topics, and publication trends over recent years is presented. The analyses confirmed previous studies and showed that, from 2012 to 2014, the number of articles related to MeSH terms Methods , Organization & Administration , and Algorithms increased significantly both in number of publications and citations. Citation trends varied widely by topic, with Natural Language Processing having a large number of citations in particular years, and Medical Record Systems, Computerized remaining a very popular topic in all years.

Từ khóa


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