Abstract:
BACKGROUND:With the recent advances in computational science, machine-learning methods have been increasingly used in medical research. Because such projects usually require both a clinician and a computational data scientist, there is a need for interdisciplinary research collaboration. However, there has been no published analysis of research collaboration networks in cardiovascular medicine using machine intelligence. METHODS:Co-authorship network analysis was conducted on 2857 research articles published between 2009 and 2019. Bibliographic data were collected from the Web of Science, and the co-authorship networks were represented as undirected multigraphs. The network density, average degree, clustering coefficient, and number of communities were calculated, and the chronological changes were assessed. Thereafter, the leading authors were identified according to the centrality metrics. Finally, we investigated the significance of the characteristics of the co-authorship network in the largest component via a Monte Carlo simulation with the Barabasi-Albert model. RESULTS:The co-authorship network of the entire period consisted of 13,979 nodes and 68,668 weighted edges. A time-series analysis revealed a linear correlation between the number of nodes and the number of edges (R2 = 0.9937, p < 0.001). Additionally, the number of communities was linearly correlated with the number of nodes (R2 = 0.9788, p < 0.001). The average shortest path increased by a greater degree than the logarithm of the number of nodes, indicating the scale-free structure of the network. We identified D. Berman as the most central author with regard to the degree centrality and closeness centrality. S. Neubauer was the top-ranking author with regard to the betweenness centrality. Among the 22 authors who were ranked in the top 10 for any centrality, 14 authors (63.6%) had a medical degree (medical doctor, MD). The remaining eight non-MD researchers had a PhD in computational science-related fields. The number of communities detected in the Barabasi-Albert model simulation was similar to that for the largest component of the real network (6.21 ± 0.07 vs. 6, p = 0.096). CONCLUSIONS:A co-authorship network analysis revealed a structure of collaboration networks in the application of machine learning in the field of cardiovascular disease, which can be useful for planning future scientific collaboration.
journal_name
Int J Med Informjournal_title
International journal of medical informaticsauthors
Higaki A,Uetani T,Ikeda S,Yamaguchi Odoi
10.1016/j.ijmedinf.2020.104274subject
Has Abstractpub_date
2020-11-01 00:00:00pages
104274eissn
1386-5056issn
1872-8243pii
S1386-5056(19)31415-7journal_volume
143pub_type
杂志文章abstract:BACKGROUND:Clinical information systems have long been used in intensive care units but reports on their adoption and benefits are limited. This study evaluated a Critical Care Information System implementation. METHODS:A case study summative evaluation was conducted, employing observation, interview, and document ana...
journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:2015-07-01 00:00:00
abstract:BACKGROUND:Currently, it is rare for nursing data to be available in data repositories due to the quality of nursing data collected in clinical practice. To improve the quality of nursing data, the American Nurses Association recommends the use of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for cod...
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pub_type: 杂志文章,评审
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abstract:OBJECTIVE:The purpose of this study was to develop a prototype personal digital assistant-decision support system (PDA-DSS) based on a clinical practice guideline (CPG) for the management of obesity. DESIGN:The study was composed of four phases: (1) analysis of advanced practice nurse (APN) students' documentation rel...
journal_title:International journal of medical informatics
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doi:10.1016/j.ijmedinf.2007.05.009
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abstract:OBJECTIVE:Bedside stations, also known as bedside terminals, are in place to enhance the quality and experience of a hospital's healthcare service delivery. The purpose of this study was to identify information needs and overall satisfaction with the personalized patient bedside system, called Smart Bedside Station (SB...
journal_title:International journal of medical informatics
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更新日期:2016-11-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2016.01.009
更新日期:2016-12-01 00:00:00
abstract::Generic clinical study data management systems can record data on an arbitrary number of parameters in an arbitrary number of clinical studies without requiring modification of the database schema. They achieve this by using an Entity-Attribute-Value (EAV) model for clinical data. While very flexible for creating tran...
journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/s1386-5056(02)00047-3
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abstract::To realize clinical data exchange between healthcare providers, there must be many standards in many layers. Terms and codes should be standardized, syntax to wrap the data must be mutually parsable, then transfer protocol or exchange media should be agreed. Among many standards for the syntax, HL7 and DICOM are most ...
journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/s1386-5056(98)00090-2
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journal_title:International journal of medical informatics
pub_type: 杂志文章,评审
doi:10.1016/s1386-5056(98)00002-1
更新日期:1998-02-01 00:00:00
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journal_title:International journal of medical informatics
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journal_title:International journal of medical informatics
pub_type: 杂志文章,随机对照试验
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更新日期:2014-05-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2018.05.006
更新日期:2018-08-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/s1386-5056(02)00103-x
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/s1386-5056(03)00047-9
更新日期:2003-07-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2004.07.004
更新日期:2005-03-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章,多中心研究
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更新日期:2015-10-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2007.08.007
更新日期:2008-07-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章,评审
doi:10.1016/j.ijmedinf.2016.09.005
更新日期:2017-01-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2016.06.014
更新日期:2016-10-01 00:00:00
abstract::For Medinfo '98, as an exercise in technological forecasting and analysis, we volunteered to project the direction of healthcare informatics into the next century. This paper is an extended discussion of that presentation. We open with the observation that healthcare informatics is merely one of the many endeavors tha...
journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/s1386-5056(98)00161-0
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2011.10.005
更新日期:2012-01-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2006.06.007
更新日期:2007-06-01 00:00:00
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更新日期:2016-02-01 00:00:00
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journal_title:International journal of medical informatics
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更新日期:2021-01-01 00:00:00
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pub_type: 杂志文章,多中心研究
doi:10.1016/j.ijmedinf.2005.05.005
更新日期:2005-08-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2020.104367
更新日期:2021-03-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章,评审
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更新日期:1997-03-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2007.02.001
更新日期:2008-04-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2005.10.007
更新日期:2006-10-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章,评审
doi:10.1016/j.ijmedinf.2006.05.046
更新日期:2007-06-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:2021-03-01 00:00:00