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1
Development and diagnostic validation of the Brisbane Evidence-Based Language Test
In: Research outputs 2014 to 2021 (2022)
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2
Predictors of Medical Students’ Views toward Research: Insights from a Cross-Cultural Study among Portuguese-Speaking Countries
In: Healthcare; Volume 10; Issue 2; Pages: 336 (2022)
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3
Effectiveness of interactive teaching intervention on medical students’ knowledge and attitudes toward stem cells, their therapeutic uses, and potential research applications
In: PeerJ (2022)
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4
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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5
On the Meaning of Medical Evidence Hierarchies
Jerkert, Jesper. - : KTH, Filosofi, 2021. : Pittsburgh : University Library System, University of Pittsburgh, 2021
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6
Actual and Perceived Level of Scientific English across Italian Physiotherapy Courses: A Cross-Sectional Study
In: Healthcare ; Volume 9 ; Issue 9 (2021)
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7
Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014-2018).
In: Clinical neurophysiology, vol. 131, no. 2, pp. 474-528 (2020)
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8
Individual and organizational factors that affect implementation of evidence-based practices for children with autism in public schools: a cross-sectional observational study.
In: Implementation science : IS, vol 14, iss 1 (2019)
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9
From Stigma to Statistics: A Study of US HIV Discourse in Digital Research Article Titles, 1986-2016
Consonni, Stefania (orcid:0000-0001-6221-4272). - : Università degli studi di Bergamo, 2019. : country:IT, 2019. : place:Bergamo, 2019
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10
HIV Discourse in the British Medical Journal, 1985-2005. The impact of digital literacy and Evidence-Based Medicine on syntactic patterns and variations in RA titles
Consonni, Stefania (orcid:0000-0001-6221-4272). - : ESE: Editoria Scientifica Elettronica; Salento University Publishing, 2019. : country:IT, 2019. : place:Lecce, 2019
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11
Psychotherapeutic Treatment of Bipolar Depression.
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12
The Acute Aphasia IMplementation Study (AAIMS): a pilot cluster randomized controlled trial
In: School of Health and Human Sciences (2018)
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13
Barriers and facilitators to meeting aphasia guideline recommendations: what factors influence speech pathologists’ practice?
In: School of Health and Human Sciences (2018)
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14
Closing the evidence-practice gaps in aphasia management: are we there yet? Where has a decade of implementation research taken us? A review and guide for clinicians
In: School of Health and Human Sciences (2018)
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15
Parent-mediated interventions for promoting communication and language development in young children with Down syndrome
O'Toole, Ciara; Lee, Alice S.; Gibbon, Fiona E.. - : John Wiley & Sons, Ltd., 2018
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16
Physiotherapists' behaviour, attitudes, awareness, knowledge and barriers in relation to evidence-based practice implementation in Saudi Arabia: a cross-sectional study
Alshehri, Mansour A.; Alalawi, Ahmed; Alhasan, Hammad. - : Lippincott Williams & Wilkins, 2017
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17
Query-oriented evidence extraction to support evidence-based medicine practice
Sarker, Abeed; Mollá, Diego; Paris, Cecile. - : Elsevier, 2016
Abstract: Evidence-based medicine practice requires medical practitioners to rely on the best available evidence, in addition to their expertise, when making clinical decisions. The medical domain boasts a large amount of published medical research data, indexed in various medical databases such as MEDLINE. As the size of this data grows, practitioners increasingly face the problem of information overload, and past research has established the time-associated obstacles faced by evidence-based medicine practitioners. In this paper, we focus on the problem of automatic text summarisation to help practitioners quickly find query-focused information from relevant documents.We utilise an annotated corpus that is specialised for the task of evidence-based summarisation of text. In contrast to past summarisation approaches, which mostly rely on surface level features to identify salient pieces of texts that form the summaries, our approach focuses on the use of corpus-based statistics, and domain-specific lexical knowledge for the identification of summary contents. We also apply a target-sentence-specific summarisation technique that reduces the problem of underfitting that persists in generic summarisation models.In automatic evaluations run over a large number of annotated summaries, our extractive summarisation technique statistically outperforms various baseline and benchmark summarisation models with a percentile rank of 96.8%. A manual evaluation shows that our extractive summarisation approach is capable of selecting content with high recall and precision, and may thus be used to generate bottom-line answers to practitioners' queries.Our research shows that the incorporation of specialised data and domain-specific knowledge can significantly improve text summarisation performance in the medical domain. Due to the vast amounts of medical text available, and the high growth of this form of data, we suspect that such summarisation techniques will address the time-related obstacles associated with evidence-based medicine. ; 16 page(s)
Keyword: Automatic text summarisation; Evidence-based medicine; Medical text processing; Query-focused text summarisation
URL: http://hdl.handle.net/1959.14/1058933
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18
A Corpus for research in text processing for evidence based medicine
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19
Mental health literacy: Public knowledge and beliefs about mental disorders
In: British Journal of Psychiatry (2015)
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20
Mental health literacy: Public knowledge and beliefs about mental disorders
In: British Journal of Psychiatry (2015)
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