Evolutionary Design of Search and Triage Interfaces for Large Document Sets

This dissertation is concerned with the design of visual interfaces for searching and triaging large document sets. Data proliferation has generated new and challenging information-based tasks across various domains. Yet, as the document sets of these tasks grow, it has become increasingly difficult for users to remain active participants in the information-seeking process, such as when searching and triaging large document sets. During information search, users seek to understand their document set, align domain knowledge, formulate effective queries, and use those queries to develop document set mappings which help generate encounters with valued documents. During information triage, users encounter the documents mapped by information search to judge relevance to information-seeking objectives. Yet, information search and triage can be challenging for users. Studies have found that when using traditional design strategies in tool interfaces for search and triage, users routinely struggle to understand the domain being searched, apply their expertise, communicate their objectives during query building, and assess the relevance of search results during information triage. Users must understand and apply domain- specific vocabulary when communicating information-seeking objectives. Yet, task vocabularies typically do not align with those of users, especially in tasks of complex domains. Ontologies can be valuable mediating resources for bridging between the vocabularies of users and tasks. They are created by domain experts to provide a standardized mapping of knowledge that can be leveraged both by computational- as well as human-facing systems. We believe that the activation of ontologies within user-facing interfaces has a potential to help users when searching and triaging large document sets, however more research is required

Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations

Predictive tools for major bleeding (MB) using machine learning (ML) might be advantageous over traditional methods. We used data from the Registro Informatizado de Enfermedad TromboEmbólica (RIETE) to develop ML algorithms to identify patients with venous thromboembolism (VTE) at increased risk of MB during the first 3 months of anticoagulation. A total of 55 baseline variables were used as predictors. New data prospectively collected from the RIETE were used for further validation. The RIETE and VTE-BLEED scores were used for comparisons. External validation was performed with the COMMAND-VTE database. Learning was carried out with data from 49 587 patients, of whom 873 (1.8%) had MB. The best performing ML method was XGBoost. In the prospective validation cohort the sensitivity, specificity, positive predictive value and F1 score were: 33.2%, 93%, 10%, and 15.4% respectively. F1 value for the RIETE and VTE-BLEED scores were 8.6% and 6.4% respectively. In the external validation cohort the metrics were 10.3%, 87.6%, 3.5% and 5.2% respectively. In that cohort, the F1 value for the RIETE score was 17.3% and for the VTE-BLEED score 9.75%. The performance of the XGBoost algorithm was better than that from the RIETE and VTE-BLEED scores only in the prospective validation cohort, but not in the external validation cohort

Miocardiopatía por estrés: takotsubo

Clinic. A 83-year-old woman who presented with acute chest pain after an intense emotional stimulus. Diagnostic tests. EKG showed negative T waves in anterior and ultrasensitive troponins were raised. The echocardiogram showed an intensely depressed with akinesia media and distal segments of all sides and apex, with conventional coronary angiography systolic function without significant lesions. The MRI was consistent with stress cardiomyopathy (ECM) takotsubo. Discussion. of uncertain origin, the ECM can mimic myocardial infarction with normal coronary arteries and good prognosis.Clínica. Mujer de 83 años que consultó por dolor torácico agudo tras un estímulo emocional intenso. Pruebas diagnósticas. El electrocardiograma mostró ondas T negativas en cara anterior y las troponinas ultrasensibles estaban elevadas. El ecocardiograma mostró una función sistólica global intensamente deprimida con acinesia de los segmentos medios y distales de todas las caras y el ápex, con coronariografía convencional sin lesiones significativas. La imagen por RM era compatible con miocardiopatía de estrés (MCE-takotsubo). Discusión. De origen incierto, la MCE puede remedar un infarto de miocardio con coronarias normales y buen pronóstico

The Fluid Aspect of the Mediterranean Diet in the Prevention and Management of Cardiovascular Disease and Diabetes: The Role of Polyphenol Content in Moderate Consumption of Wine and Olive Oil

A growing interest has emerged in the beneficial effects of plant-based diets for the prevention of cardiovascular disease, diabetes and obesity. The Mediterranean diet, one of the most widely evaluated dietary patterns in scientific literature, includes in its nutrients two fluid foods: olive oil, as the main source of fats, and a low-to-moderate consumption of wine, mainly red, particularly during meals. Current mechanisms underlying the beneficial effects of the Mediterranean diet include a reduction in inflammatory and oxidative stress markers, improvement in lipid profile, insulin sensitivity and endothelial function, as well as antithrombotic properties. Most of these effects are attributable to bioactive ingredients including polyphenols, mono- and poly-unsaturated fatty acids. Polyphenols are a heterogeneous group of phytochemicals containing phenol rings. The principal classes of red wine polyphenols include flavonols (quercetin and myricetin), flavanols (catechin and epicatechin), anthocyanin and stilbenes (resveratrol). Olive oil has at least 30 phenolic compounds. Among them, the main are simple phenols (tyrosol and hydroxytyrosol), secoroids and lignans. The present narrative review focuses on phenols, part of red wine and virgin olive oil, discussing the evidence of their effects on lipids, blood pressure, atheromatous plaque and glucose metabolism

Conociendo a los tutores de Medicina Interna: nuevas necesidades para la formación

Introducción y objetivos Los tutores son los responsables de planificar el aprendizaje de los residentes. El objetivo de este trabajo es conocer la situación de los tutores de Medicina Interna en España y detectar áreas de mejora que puedan facilitar su trabajo. Material y métodos Encuestas online a tutores de Medicina Interna de mayo a julio de 2017 con análisis posterior de los datos. Resultados Respondieron 110 tutores, de 13 comunidades autónomas y hospitales de todos los niveles con docencia en Medicina Interna. Sesenta y tres fueron hombres (57, 3%), la media de edad fue de 48 años y tenían una experiencia como tutores de 8, 5 años. En el 88, 2% de los casos se respeta la ratio de cinco residentes por tutor; un 46% piensa que debería disminuirse esta ratio para optimizar su labor. Un tercio había sido elegido por el responsable del servicio y el 30% nunca ha realizado cursos sobre formación. La entrevista tutor-residentes es utilizada por la mayoría de los tutores (96, 4%) como herramienta de comunicación. En relación a las rotaciones, la cuarta parte no son planificadas por los tutores y, solo la mitad, contacta con los centros donde los residentes realizan las rotaciones externas. El 61% cree que no se realiza bien la evaluación de residentes, con muy escasa utilización de las nuevas herramientas de evaluación. Conclusiones Disminuir la ratio tutor/residente y la formación en técnicas de evaluación y desarrollo del aprendizaje podría mejorar la calidad de la tutorización. Introduction and objectives: Mentors are responsible for planning the residents’ learning. The aim of this study was to determine the situation of internal medicine mentors in Spain and detect areas of improvement that can facilitate their work. Material and methods: Online surveys were sent to internal medicine mentors from May to July 2017, the results of which were subsequently analysed. Results: A total of 110 mentors from 13 autonomous communities and from hospitals of all levels with courses in internal medicine responded to the survey. Of these mentors, 63 were men (57.3%), and the mean age was 48 years. The mean experience as mentors was 8.5 years. Some 88.2% of the cases had a ratio of 5 residents to 1 mentor; 46% of the mentors believed this ratio should be decreased to optimize their work. A third of the mentors were chosen by the heads of the department, and 30% had not previously taken courses on training. The mentor-resident interview was used by most mentors (96.4%) as a communication tool. A quarter of the rotations were not planned by the mentors, and only half had contact with the centres where the residents performed the external rotations. Sixty-one percent of the mentors were of the opinion that resident assessments were not conducted properly, with very little use of the new assessment tools. Conclusions: Reducing the mentor-resident ratio and adding training in assessment techniques and learning development could improve the quality of the mentoring

Factors contributing to attrition behavior in diabetes self-management programs: A mixed method approach

<p>Abstract</p> <p>Background</p> <p>Diabetes self-management education is a critical component in diabetes care. Despite worldwide efforts to develop efficacious DSME programs, high attrition rates are often reported in clinical practice. The objective of this study was to examine factors that may contribute to attrition behavior in diabetes self-management programs.</p> <p>Methods</p> <p>We conducted telephone interviews with individuals who had Type 2 diabetes (n = 267) and attended a diabetes education centre. Multivariable logistic regression was performed to identify factors associated with attrition behavior. Forty-four percent of participants (n = 118) withdrew prematurely from the program and were asked an open-ended question regarding their discontinuation of services. We used content analysis to code and generate themes, which were then organized under the Behavioral Model of Health Service Utilization.</p> <p>Results</p> <p>Working full and part-time, being over 65 years of age, having a regular primary care physician or fewer diabetes symptoms were contributing factors to attrition behaviour in our multivariable logistic regression. The most common reasons given by participants for attrition from the program were conflict between their work schedules and the centre's hours of operation, patients' confidence in their own knowledge and ability when managing their diabetes, apathy towards diabetes education, distance to the centre, forgetfulness, regular physician consultation, low perceived seriousness of diabetes, and lack of familiarity with the centre and its services. There was considerable overlap between our quantitative and qualitative results.</p> <p>Conclusion</p> <p>Reducing attrition behaviour requires a range of strategies targeted towards delivering convenient and accessible services, familiarizing individuals with these services, increasing communication between centres and their patients, and creating better partnerships between centres and primary care physicians.</p

Diversity, Phylogeny and Expression Patterns of Pou and Six Homeodomain Transcription Factors in Hydrozoan Jellyfish Craspedacusta sowerbyi

Formation of all metazoan bodies is controlled by a group of selector genes including homeobox genes, highly conserved across the entire animal kingdom. The homeobox genes from Pou and Six classes are key members of the regulation cascades determining development of sensory organs, nervous system, gonads and muscles. Besides using common bilaterian models, more attention has recently been targeted at the identification and characterization of these genes within the basal metazoan phyla. Cnidaria as a diploblastic sister group to bilateria with simple and yet specialized organs are suitable models for studies on the sensory organ origin and the associated role of homeobox genes. In this work, Pou and Six homeobox genes, together with a broad range of other sensory-specific transcription factors, were identified in the transcriptome of hydrozoan jellyfish Craspedacusta sowerbyi. Phylogenetic analyses of Pou and Six proteins revealed cnidarian-specific sequence motifs and contributed to the classification of individual factors. The majority of the Craspedacusta sowerbyi Pou and Six homeobox genes are predominantly expressed in statocysts, manubrium and nerve ring, the tissues with sensory and nervous activities. The described diversity and expression patterns of Pou and Six factors in hydrozoan jellyfish highlight their evolutionarily conserved functions. This study extends the knowledge of the cnidarian genome complexity and shows that the transcriptome of hydrozoan jellyfish is generally rich in homeodomain transcription factors employed in the regulation of sensory and nervous functions

Comparison of seven prognostic tools to identify low-risk pulmonary embolism in patients aged <50 years

publishersversionPeer reviewe

Association Between Preexisting Versus Newly Identified Atrial Fibrillation and Outcomes of Patients With Acute Pulmonary Embolism

Background Atrial fibrillation (AF) may exist before or occur early in the course of pulmonary embolism (PE). We determined the PE outcomes based on the presence and timing of AF. Methods and Results Using the data from a multicenter PE registry, we identified 3 groups: (1) those with preexisting AF, (2) patients with new AF within 2 days from acute PE (incident AF), and (3) patients without AF. We assessed the 90-day and 1-year risk of mortality and stroke in patients with AF, compared with those without AF (reference group). Among 16 497 patients with PE, 792 had preexisting AF. These patients had increased odds of 90-day all-cause (odds ratio [OR], 2.81; 95% CI, 2.33-3.38) and PE-related mortality (OR, 2.38; 95% CI, 1.37-4.14) and increased 1-year hazard for ischemic stroke (hazard ratio, 5.48; 95% CI, 3.10-9.69) compared with those without AF. After multivariable adjustment, preexisting AF was associated with significantly increased odds of all-cause mortality (OR, 1.91; 95% CI, 1.57-2.32) but not PE-related mortality (OR, 1.50; 95% CI, 0.85-2.66). Among 16 497 patients with PE, 445 developed new incident AF within 2 days of acute PE. Incident AF was associated with increased odds of 90-day all-cause (OR, 2.28; 95% CI, 1.75-2.97) and PE-related (OR, 3.64; 95% CI, 2.01-6.59) mortality but not stroke. Findings were similar in multivariable analyses. Conclusions In patients with acute symptomatic PE, both preexisting AF and incident AF predict adverse clinical outcomes. The type of adverse outcomes may differ depending on the timing of AF onset.info:eu-repo/semantics/publishedVersio