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Institution

University of Salford

EducationSalford, Manchester, United Kingdom
About: University of Salford is a education organization based out in Salford, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Thin film. The organization has 13049 authors who have published 22957 publications receiving 537330 citations. The organization is also known as: University of Salford Manchester & The University of Salford Manchester.


Papers
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Journal ArticleDOI
TL;DR: Few review types possess prescribed and explicit methodologies and many fall short of being mutually exclusive, but this typology provides a valuable reference point for those commissioning, conducting, supporting or interpreting reviews, both within health information and the wider health care domain.
Abstract: Background and objectives : The expansion of evidence-based practice across sectors has lead to an increasing variety of review types. However, the diversity of terminology used means that the full potential of these review types may be lost amongst a confusion of indistinct and misapplied terms. The objective of this study is to provide descriptive insight into the most common types of reviews, with illustrative examples from health and health information domains. Methods : Following scoping searches, an examination was made of the vocabulary associated with the literature of review and synthesis (literary warrant). A simple analytical framework—Search, AppraisaL, Synthesis and Analysis (SALSA)—was used to examine the main review types. Results : Fourteen review types and associated methodologies were analysed against the SALSA framework, illustrating the inputs and processes of each review type. A description of the key characteristics is given, together with perceived strengths and weaknesses. A limited number of review types are currently utilized within the health information domain. Conclusions : Few review types possess prescribed and explicit methodologies and many fall short of being mutually exclusive. Notwithstanding such limitations, this typology provides a valuable reference point for those commissioning, conducting, supporting or interpreting reviews, both within health information and the wider health care domain.

5,571 citations

Journal ArticleDOI
TL;DR: This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.
Abstract: This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development.

4,944 citations

Journal ArticleDOI
01 Feb 1993-Pain
TL;DR: In this article, a Fear-Avoidance Beliefs Questionnaire (FABQ) was developed, based on theories of fear and avoidance behaviour and focussed specifically on patients' beliefs about how physical activity and work affected their low back pain.
Abstract: Pilot studies and a literature review suggested that fear-avoidance beliefs about physical activity and work might form specific cognitions intervening between low back pain and disability. A Fear-Avoidance Beliefs Questionnaire (FABQ) was developed, based on theories of fear and avoidance behaviour and focussed specifically on patients' beliefs about how physical activity and work affected their low back pain. Test-retest reproducibility in 26 patients was high. Principal-components analysis of the questionnaire in 210 patients identified 2 factors: fear-avoidance beliefs about work and fear-avoidance beliefs about physical activity with internal consistency (alpha) of 0.88 and 0.77 and accounting for 43.7% and 16.5% of the total variance, respectively. Regression analysis in 184 patients showed that fear-avoidance beliefs about work accounted for 23% of the variance of disability in activities of daily living and 26% of the variance of work loss, even after allowing for severity of pain; fear-avoidance beliefs about physical activity explained an additional 9% of the variance of disability. These results confirm the importance of fear-avoidance beliefs and demonstrate that specific fear-avoidance beliefs about work are strongly related to work loss due to low back pain. These findings are incorporated into a biopsychosocial model of the cognitive, affective and behavioural influences in low back pain and disability. It is recommended that fear-avoidance beliefs should be considered in the medical management of low back pain and disability.

2,568 citations

Journal ArticleDOI
TL;DR: In this paper, a conceptual framework of associations between urban green space and ecosystem and human health is proposed, which highlights many dynamic factors, and their complex interactions, affecting ecosystem health and human Health in urban areas.

2,151 citations

Journal ArticleDOI
TL;DR: The nature and basis of nonresponsive celiac sprue require more thoughtful initiatives to elucidate the immunologic mechanism(s) of unresponsiveness and evaluate possible means of reversal.

2,082 citations


Authors

Showing all 13134 results

NameH-indexPapersCitations
David B. Wake7128020446
Chris J. Main7020919397
Darwin G. Caldwell7067020248
William E R Ollier7029720201
Michael J. McKenna7035616227
Kang Li6933917111
JunJie Wu6846516414
Derek Lowe6834715051
David G. Thompson6616912892
Martin Skitmore6657716212
Judith A. Hoyland6623615753
Michael Gleeson6523417603
Philip S. Craig6429213984
Noel W. Clarke6436114624
Patrick Smith6340714952
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022139
2021880
2020888
2019842
2018781