Clinical-decision support based on medical literature: A complex network approach

Jiang, Junqiu; Zheng, Jichuan; Zhao, Chao; Su, Jia; Guan, Yi; Yu, Qiubin

doi:10.1016/j.physa.2016.04.026

Cited by 8 publications

(3 citation statements)

References 34 publications

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“…However, this behaviour depends on financing the access to scholarly literature and the accessibility of the necessary technical infrastructure (Ebrahimi et al, 2017). Documentation from accredited sources, for example, from academic journals indexed in international databases, has given satisfactory results in countries that have implemented programmes to access medical information (Marriott, 2002), strengthening the idea that documentation from auxiliary sources in current medical practice, called evidence-based medicine or EBM in the international literature, is needed (Jiang et al, 2016). Given the international context in which Romania is placedan EU Member State, which is facing a sharp migration of medical staff and which has a poorly funded and uncompetitive healthcare system (Popescu, Asandului & Fătulescu, 2014) -, this study is welcome for the academic environment and for decision makers in health and education.…”

Section: The Romanian Healthcare Systemmentioning

confidence: 99%

The Use Of Auxiliary Documentation Resources In Medical Practice. The Impact Of peaceMed Project Upon The Romanian Medical Community

Avram

2020

REd Journal

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The study at hand represents an analysis of the effect that the peaceMed Project had upon the Romanian medical community when considering the usage of auxiliary methods for article sourcing. peaceMed represents an initiative that proposes novel ways of article research for the medical professionals and offers, for the first time in the Romanian medical environment, a broad range of solely healthcare-related information. This disquisition is a national novelty, also being the first study of this sort made in an East European country. The main purpose of this inquiry is to reveal what sources Romanian professionals use in their daily activity to find reliant, academically approved medical information. The result of this study shows the major impact that peaceMed had on the Romanian medical community included in this project and emphasizes the significant need for such an initiative at a larger scale.

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Section: The Romanian Healthcare Systemmentioning

confidence: 99%

The Use Of Auxiliary Documentation Resources In Medical Practice. The Impact Of peaceMed Project Upon The Romanian Medical Community

Avram

2020

REd Journal

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“…Some researchers have also investigated other means of performing query expansion. For example, Jiang et al () studied the topology of the network of publications in the Open Access Subset of PubMed. In the proposed graph, each node represents a document; documents share an edge if one or more medical concepts co‐occur in both documents.…”

Section: Related Workmentioning

confidence: 99%

“…In other words, systems receive a clinical note consisting of several sentences as input rather than a short, keyword‐heavy query. Query reformulation techniques were extensively studied by most participating teams in CDS TREC 2014 and 2015 (Balaneshin Kordan et al, ; Choi & Choi, ; Cohan, Soldaini, Yates, Goharian, & Frieder, ; Jiang et al, ; McNamee, ; Mourao et al, ; Sankhavara, Thakrar, Sarkar, & Majumder, ; Sierek & Hanbury, ; Soldaini et al, ; Xu, McNamee, & Oard, ); some employed medical lexica and thesauri, whereas others used PRF techniques. Furthermore, many teams evaluated both.…”

Section: Related Workmentioning

confidence: 99%

Learning to reformulate long queries for clinical decision support

Soldaini

Yates

Goharian

2017

Asso for Info Science & Tech

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The large volume of biomedical literature poses a serious problem for medical professionals, who are often struggling to keep current with it. At the same time, many health providers consider knowledge of the latest literature in their field a key component for successful clinical practice. In this work, we introduce two systems designed to help retrieving medical literature. Both receive a long, discursive clinical note as input query, and return highly relevant literature that could be used in support of clinical practice. The first system is an improved version of a method previously proposed by the authors; it combines pseudo relevance feedback and a domain-specific term filter to reformulate the query. The second is an approach that uses a deep neural network to reformulate a clinical note. Both approaches were evaluated on the 2014 and 2015 TREC CDS datasets; in our tests, they outperform the previously proposed method by up to 28% in inferred NDCG; furthermore, they are competitive with the state of the art, achieving up to 8% improvement in inferred NDCG.

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