1,720,998 research outputs found
Categorizing Gene Expression Correlations with Bioclinical Data: An Abstraction Based Approach
No full textAdvancing Global Digital Healthcare Innovation through One Digital Health and Multilingual Ontologies
Full text linkThe digital transformation of healthcare offers significant opportunities alongside complex challenges. One Digital Health (ODH) provides a unified framework integrating artificial intelligence, data science, and healthcare informatics to enhance decision-making, interoperability, and sustainability within health ecosystems. By connecting human, animal, and environmental health, ODH addresses the critical need for cross-sector collaboration, breaking down traditional silos to improve health outcomes. This presentation delves into the benefits of digitalization in healthcare, such as enhanced data accessibility, personalized medicine, and real-time epidemiological monitoring. It examines the role of AI-driven analytics, process mining, and digital epidemiology in optimizing personalized patient care, public health strategies, and emergency response systems. Moreover, the presentation emphasizes key challenges like international communication and multilingual issues through the Medical Informatics and Digital Health Multilingual Ontology (MIMO), which facilitates interactions within a global community. By adhering to the FAIR (Findable, Accessible, Interoperable, Reusable) principles, both ODH and MIMO promote responsible digital health practices that encourage transparency and citizen and professional engagement while also supporting the sustainability of medical technology. Ultimately, ODH presents a roadmap for a more integrated, ethical, and sustainable future in digital health. It balances technological innovation with responsible governance to maximize benefits and mitigate risks. The presentation concludes with strategic recommendations for fostering a global, interdisciplinary approach to digital healthcare innovation
Towards Autonomous Living Meta-Analyses: A Framework for Automation of Systematic Review and Meta-Analyses
No full text: Systematic review and meta-analysis constitute a staple of evidence-based medicine, an obligatory step in developing the guideline and recommendation document. It is a formalized process aiming at extracting and summarizing knowledge from the published work, grading, and considering the quality of the included studies. It is very laborious and time-consuming. Therefore, the meta-analyses are rarely updated and seldom living, decreasing their utility with time. Here, we present a framework for integrating the large language models and natural language processing techniques applied to the previously published systematic review and meta-analysis of the diagnostic test accuracy of the point of care tests. We show that the framework can be used to automate the screening step of the existing meta-analyses with minimal costs to quality and, to a large extent, the extraction step while maintaining the strict nature of the systematic review process
Developing the Digital Healthcare Workforce in Italy: The SIBIM Experience
No full text: The digital healthcare workforce is usually composed of two major types of professionals: the healthcare workers, who are the users of eHealth, and the health informatics developers, who are usually computer scientists, biomedical engineers, or other technical experts. Health informatics educators have the responsibility to develop the appropriate skills for both, acting within their specific curricula. Here we present the experience of the Italian Society of Biomedical Informatics (SIBIM) and show that, whereas the technical curricula are widely covered with a large range of topics, the eHealth education in medical curricula is often limited to simple bioengineering and informatics skills, thus suggesting that eHealth associations and organizations at the national level should focus their efforts towards increasing the level of eHealth contents in medical schools
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
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
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