1,720,955 research outputs found
A pipeline for developing deep learning prognostic prediction models in cardiac magnetic resonance image analysis
Full text linkPatients and healthcare professionals require clinical prediction models to accurately guide healthcare decisions, although an awareness of the limitations of regression-based models has recently increased. Deep learning (DL) has emerged as a promising alternative to traditional regression-based models, due to its ability to effectively analyse heterogeneous types of data, ranging from numerical variables to medical images. Building a DL model presents various challenges, including conceptualizing the clinical problem, selecting appropriate variables and model architecture, and providing explainability. We propose a four-step pipeline for developing DL-based prediction models for cardiac magnetic resonance image analysis. This framework aims to support researchers in exploring DL application across the broad spectrum of cardiology, with a specific focus on advancement in arrhythmic risk prediction. The field of cardiomyopathy faces challenges when assessing arrhythmic risk due to the low accuracy of the current prediction models. Research efforts have focused on developing DL models able to predict major arrhythmic events in dilated cardiomyopathy. While the initial results are promising, further tests are needed before translating these models into clinical practice
Afterload Mismatch Is Associated With Higher Cardiac Mortality After Heart Transplantation
No full textBackground: Heart transplant (HT) recipients tend to develop unfavorable ventricular-arterial interactions, yet the prognostic implications of this altered physiology remain unclear. We aimed to identify the presence of afterload mismatch (AM) after heart transplantation, its determinants, and its impact on long-term cardiac mortality. Methods: An observational, single-center study was conducted on the historical cohort of patients who received HT at our institution. Patients survived the first year after HT with a LVEF ≥50%, cardiac allograft vasculopathy grades 0 to 1, and acute cellular rejection grades 0 to 1R. Arterial elastance and ventricular elastance were calculated noninvasively using blood pressure, end-systolic volume, and end-diastolic volume. Patients were grouped as follows: low afterload (LA- arterial elastanc
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Impact of Left Ventricular-Vascular Interaction on Long-Term Outcome After Heart Transplantation
No full textBackground and aim: To compare pressure-volume (PV) derivative variables between HT patients and healthy controls and to assess their impact on long-term outcome. Methods: In this single-center retrospective study, HT patients surviving their first post-HT year with left ventricular ejection fraction (LVEF) ≥50%, absence of allograft vasculopathy, and rejection were enrolled. PV variable surrogates were measured by transthoracic echocardiography and compared with healthy controls. The endpoint was cardiovascular mortality. Results: From 1985 to 2015, 345 patients were enrolled. Arterial elastance (Ea) and left ventricular end-systolic elastance (Ees) were higher in HT recipients than in healthy controls (4.03 vs. 1.65, p 4 mmHg/mL/m2 and Ees ≤ 6.75 mmHg/mL/m2, and both were independently associated with mortality risk after adjustment (Ea > 4 mmHg/mL/m2: HR 2.25 [95% CI 1.38–3.66], p = 0.013; Ees ≤ 6.75 mmHg/mL/m2: HR 3.70 [95% CI 1.95–7.06], p = 0.001). Conclusions: In HT recipients surviving the first year after transplantation with normal LVEF, high Ea, and low Ees values were independently associated with poorer outcomes in long-term follow-up
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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