An Automated Method to Enrich and Expand Consumer Health Vocabularies Using GloVe Word Embeddings

Clear language makes communication easier between any two parties. However, a layman may have difficulty communicating with a professional due to not understanding the specialized terms common to the domain. In healthcare, it is rare to find a layman knowledgeable in medical jargon, which can lead to poor understanding of their condition and/or treatment. To bridge this gap, several professional vocabularies and ontologies have been created to map laymen medical terms to professional medical terms and vice versa. Many of the presented vocabularies are built manually or semi-automatically requiring large investments of time and human effort and consequently the slow growth of these vocabularies. In this dissertation, we present an automatic method to enrich existing concepts in a medical ontology with additional laymen terms and also to expand the number of concepts in the ontology that do not have associated laymen terms. Our work has the benefit of being applicable to vocabularies in any domain. Our entirely automatic approach uses machine learning, specifically Global Vectors for Word Embeddings (GloVe), on a corpus collected from a social media healthcare platform to extend and enhance consumer health vocabularies. We improve these vocabularies by incorporating synonyms and hyponyms from the WordNet ontology. By performing iterative feedback using GloVe’s candidate terms, we can boost the number of word occurrences in the co-occurrence matrix allowing our approach to work with a smaller training corpus. Our novel algorithms and GloVe were evaluated using two laymen datasets from the National Library of Medicine (NLM), the Open-Access and Collaborative Consumer Health Vocabulary (OAC CHV) and the MedlinePlus Healthcare Vocabulary. For our first goal, enriching concepts, the results show that GloVe was able to find new laymen terms with an F-score of 48.44%. Our best algorithm enhanced the corpus with synonyms from WordNet, outperformed GloVe with an F-score relative improvement of 25%. For our second goal, expanding the number of concepts with related laymen’s terms, our synonym-enhanced GloVe outperformed GloVe with a relative F-score relative improvement of 63%. The results of the system were in general promising and can be applied not only to enrich and expand laymen vocabularies for medicine but any ontology for a domain, given an appropriate corpus for the domain. Our approach is applicable to narrow domains that may not have the huge training corpora typically used with word embedding approaches. In essence, by incorporating an external source of linguistic information, WordNet, and expanding the training corpus, we are getting more out of our training corpus. Our system can help building an application for patients where they can read their physician\u27s letters more understandably and clearly. Moreover, the output of this system can be used to improve the results of healthcare search engines, entity recognition systems, and many others

School choice and constructing the active citizen: Representations and negotiations of active, responsible parenting

A key feature of policy reform and political development in Britain since the 1980s has been the idea that public services are more responsive, flexible and better managed when citizens engage with them as discriminating users or consumers, in education, this approach to reform has been criticised for undermining associations and relations that engender citizenship-based commitments to ideas of public welfarism and a democratic citizenry. This thesis explores diverse sources and types of evidence in order to map the field through which parents are invited to deploy meanings and vocabularies that register a consumerist orientation to school choice, and to illustrate the sets of contrasting and sometimes contradictory discourses enacted by parents in their interpretations and understandings of their role as chooser

Beyond Green: The Arts as a Catalyst for Sustainability

The creative sector has played a significant role in efforts to raise awareness of the impacts of climate change and encourage sustainable social, economic, and environmental practices worldwide. Many artists and cultural organizations have embarked on remarkable projects that make us reflect on our behaviors, our carbon footprints, and the claims of infinite growth based on finite resources. Sometimes treading a fine line between arts and advocacy, they have sparked extraordinary collaborations that reveal new ways of living together on a shared planet. The 'art of the possible' will become even more relevant as 2016 dawns - bringing the challenge of how to implement the Sustainable Development Goals and the Climate Change Agreement adopted at the end of 2015. Yet with negotiations overshadowed by scientific controversy, political polemic and geographic polarization, individuals can easily lose faith in their own ability to shape change beyond the hyperlocal level. Against this challenging backdrop, could the arts and creative practice become a particle accelerator - to shift mindsets, embrace new ways of sharing space and resources, and catalyze more creative leadership in the public and private spheres? The goal of this Salzburg Global Seminar session was to build on path-breaking cultural initiatives to advance international and cross-sectoral links between existing arts and sustainability activities around the world, encourage bolder awareness-raising efforts, and recommend strategic approaches for making innovative grassroots to scale for greater, longer-term impact

Sensory politics of food pedagogies

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Data mining Twitter for cancer, diabetes, and asthma insights

Twitter may be a data resource to support healthcare research. Literature is still limited related to the potential of Twitter data as it relates to healthcare. The purpose of this study was to contrast the processes by which a large collection of unstructured disease-related tweets could be converted into structured data to be further analyzed. This was done with the objective of gaining insights into the content and behavioral patterns associated with disease-specific communications on Twitter. Twelve months of Twitter data related to cancer, diabetes, and asthma were collected to form a baseline dataset containing over 34 million tweets. As Twitter data in its raw form would have been difficult to manage, three separate data reduction methods were contrasted to identify a method to generate analysis files, maximizing classification precision and data retention. Each of the disease files were then run through a CHAID (chi-square automatic interaction detector) analysis to demonstrate how user behavior insights vary by disease. Chi-square Automatic Interaction Detector (CHAID) was a technique created by Gordon V. Kass in 1980. CHAID is a tool used to discover the relationship between variables. This study followed the standard CRISP-DM data mining approach and demonstrates how the practice of mining Twitter data fits into this six-stage iterative framework. The study produced insights that provide a new lens into the potential Twitter data has as a valuable healthcare data source as well as the nuances involved in working with the data

Is Marketing Messing with Your Clients’ Heads? Brands, Identity, and Clinical Practice

This narrative review of the literature explores current understanding of whether and how consumer brands affect clients’ constructs of self and therefore clinical mental health practice. The relevance of this question stems from the growing body of academic business and marketing literature dedicated to engineering brands into consumers’ constructs of self, and from the marketing infrastructure dedicated to engineering brands suitable for self-construction. From a social constructionist perspective, the question is additionally relevant considering how environmental factors related to constructing the self ultimately affect mental health. Systematic searches of four databases fail to find any articles addressing potential practice implications of building brands into construct of self. Even so, the narrative review and discussion identify gaps in clinical understanding, the implications of leaving those gaps unexplored, and future directions for research that might close those gaps

An aesthetics of touch: investigating the language of design relating to form

How well can designers communicate qualities of touch? This paper presents evidence that they have some capability to do so, much of which appears to have been learned, but at present make limited use of such language. Interviews with graduate designer-makers suggest that they are aware of and value the importance of touch and materiality in their work, but lack a vocabulary to fully relate to their detailed explanations of other aspects such as their intent or selection of materials. We believe that more attention should be paid to the verbal dialogue that happens in the design process, particularly as other researchers show that even making-based learning also has a strong verbal element to it. However, verbal language alone does not appear to be adequate for a comprehensive language of touch. Graduate designers-makers’ descriptive practices combined non-verbal manipulation within verbal accounts. We thus argue that haptic vocabularies do not simply describe material qualities, but rather are situated competences that physically demonstrate the presence of haptic qualities. Such competencies are more important than groups of verbal vocabularies in isolation. Design support for developing and extending haptic competences must take this wide range of considerations into account to comprehensively improve designers’ capabilities

A Framework for the Specificity of Addictions

Research over the last two decades suggests that a wide range of substance and behavioral addictions may serve similar functions. Yet, co-occurrence of addictions has only been reported among a minority of addicts. “Addiction specificity” pertains to a phenomenon in which one pattern of addictive behaviors may be acquired whereas another is not. This paper presents the PACE model as a framework which might help explain addiction specificity. Pragmatics, attraction, communication, and expectation (PACE) variables are described, which may help give some direction to future research needs in this arena