Clinical Decision Support Systems: A Visual Survey
Kamran Farooq, Bisma S Khan, Muaz A Niazi, Stephen J Leslie, Amir, Hussain

TL;DR
This paper provides a comprehensive visual scientometric survey of Clinical Decision Support Systems literature, analyzing key papers, authors, countries, and journals to aid researchers and practitioners in understanding the domain's landscape.
Contribution
It introduces a novel visual survey approach to analyze CDSS literature across multiple disciplines using network-based models, covering a broad spectrum of the domain.
Findings
Identified key turning point articles in CDSS literature
Highlighted highly cited authors and countries
Mapped influential journals and subject categories
Abstract
Clinical Decision Support Systems (CDSS) form an important area of research. In spite of its importance, it is difficult for researchers to evaluate the domain primarily because of a considerable spread of relevant literature in interdisciplinary domains. Previous surveys of CDSS have examined the domain from the perspective of individual disciplines. However, to the best of our knowledge, no visual scientometric survey of CDSS has previously been conducted which provides a broader spectrum of the domain with a horizon covering multiple disciplines. While traditional systematic literature surveys focus on analyzing literature using arbitrary results, visual surveys allow for the analysis of domains by using complex network-based analytical models. In this paper, we present a detailed visual survey of CDSS literature using important papers selected from highly cited sources in the…
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