Academic literature on the topic 'Disease representation'

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Journal articles on the topic "Disease representation"

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Odaibo, Stephen Gbejule. "Representation of Disease." JAMA Ophthalmology 133, no. 5 (May 1, 2015): 618. http://dx.doi.org/10.1001/jamaophthalmol.2014.5655.

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Xuan, Sun, Wang, Zhang, and Pan. "Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks." International Journal of Molecular Sciences 20, no. 15 (July 25, 2019): 3648. http://dx.doi.org/10.3390/ijms20153648.

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Identification of disease-associated miRNAs (disease miRNAs) are critical for understanding etiology and pathogenesis. Most previous methods focus on integrating similarities and associating information contained in heterogeneous miRNA-disease networks. However, these methods establish only shallow prediction models that fail to capture complex relationships among miRNA similarities, disease similarities, and miRNA-disease associations. We propose a prediction method on the basis of network representation learning and convolutional neural networks to predict disease miRNAs, called CNNMDA. CNNMDA deeply integrates the similarity information of miRNAs and diseases, miRNA-disease associations, and representations of miRNAs and diseases in low-dimensional feature space. The new framework based on deep learning was built to learn the original and global representation of a miRNA-disease pair. First, diverse biological premises about miRNAs and diseases were combined to construct the embedding layer in the left part of the framework, from a biological perspective. Second, the various connection edges in the miRNA-disease network, such as similarity and association connections, were dependent on each other. Therefore, it was necessary to learn the low-dimensional representations of the miRNA and disease nodes based on the entire network. The right part of the framework learnt the low-dimensional representation of each miRNA and disease node based on non-negative matrix factorization, and these representations were used to establish the corresponding embedding layer. Finally, the left and right embedding layers went through convolutional modules to deeply learn the complex and non-linear relationships among the similarities and associations between miRNAs and diseases. Experimental results based on cross validation indicated that CNNMDA yields superior performance compared to several state-of-the-art methods. Furthermore, case studies on lung, breast, and pancreatic neoplasms demonstrated the powerful ability of CNNMDA to discover potential disease miRNAs.
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Malhotra, Raman, and Jane M. Olver. "Diagrammatic representation of lacrimal disease." Eye 14, no. 3 (May 2000): 358–63. http://dx.doi.org/10.1038/eye.2000.88.

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Perciaccante, Antonio, Philippe Charlier, Alessia Coralli, Saudamini Deo, Otto Appenzeller, and Raffaella Bianucci. "Exploring Disease Representation in Movies." Journal of General Internal Medicine 34, no. 11 (August 13, 2019): 2351–54. http://dx.doi.org/10.1007/s11606-019-05254-6.

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Brandão, Brígida Maria Gonçalves de Melo, Rebeca Coelho de Moura Angelim, Sergio Corrêa Marques, Denize Cristina de Oliveira, Regina Célia de Oliveira, and Fátima Maria da Silva Abrão. "Social representations of the elderly about HIV/AIDS." Revista Brasileira de Enfermagem 72, no. 5 (October 2019): 1349–55. http://dx.doi.org/10.1590/0034-7167-2018-0296.

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ABSTRACT Objective: to understand the representational content about HIV/AIDS among seropositive elderly people. Method: a qualitative study carried out from April to May 2017, in the city of Recife/PE, with 48 seropositive elderly people, through a semi-structured interview. The Social Representations Theory was used as theoretical framework and the method of lexical analysis through IRAMUTEQ software. Results: it was observed that the social representation of HIV is structured around the proximity of death and that it is a disease of restricted groups, leading to feelings of sadness. On the other hand, it is evident a transformation of the representation linked to the reified knowledge, leading to the process of naturalization of the disease. Final considerations: it is concluded that the elderly living with HIV, when they undergo a process of reframing about the disease, become more flexible to deal with their condition of seropositivity.
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Przelaskowski, Artur. "Semantic Sparse Representation of Disease Patterns." International Journal of Electronics and Telecommunications 56, no. 3 (September 1, 2010): 273–80. http://dx.doi.org/10.2478/v10177-010-0036-x.

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Semantic Sparse Representation of Disease PatternsSparse data representation is discussed in a context of useful fundamentals led to semantic content description and extraction of information. Disease patterns as semantic information extracted from medical images were underlined because of discussed application of computer-aided diagnosis. Compressive sensing rules were adjusted to the requirements of diagnostic pattern recognition. Proposed methodology of sparse disease patterns considers accuracy of sparse representation to estimate target content for detailed analysis. Semantics of sparse representation were modeled by morphological content analysis. Subtle or hidden components were extracted and displayed to increase information completeness. Usefulness of sparsity was verified for computer-aided diagnosis of stroke based on brain CT scans. Implemented method was based on selective and sparse representation of subtle hypodensity to improve diagnosis. Visual expression of disease signatures was fixed to radiologist requirements, domain knowledge and experimental analysis issues. Diagnosis assistance suitability was proven by experimental subjective rating and automatic recognition.
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YANG, YunSheng, HuiJie FAN, YanDong TANG, and Yang CONG. "Sparse representation for gastropathy disease diagnosis." Chinese Science Bulletin 58, S2 (January 1, 2013): 145–51. http://dx.doi.org/10.1360/972013-950.

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Li, Yuhua, Zhihui Luo, Fengjie Wang, and Yingxu Wang. "Hyperspectral Leaf Image-Based Cucumber Disease Recognition Using the Extended Collaborative Representation Model." Sensors 20, no. 14 (July 21, 2020): 4045. http://dx.doi.org/10.3390/s20144045.

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Collaborative representation (CR)-based classification has been successfully applied to plant disease recognition in cases with sufficient training samples of each disease. However, collecting enough training samples is usually time consuming and labor-intensive. Moreover, influenced by the non-ideal measurement environment, samples may be corrupted by variables introduced by bad illumination and occlusions of adjacent leaves. Consequently, an extended collaborative representation (ECR)-based classification model is presented in this paper. Then, it is applied to cucumber leaf disease recognition, which constructs a pure spectral library consisting of several representative samples for each disease and designs a universal variation spectral library that deals with linear variables superimposed on samples. Thus, each query sample is encoded as a linear combination of atoms from these two spectral libraries and disease identity is determined by the disease of minimal reconstruction residuals. Experiments are conducted on spectral curves extracted from normal leaves and the disease lesions of leaves infected with cucumber anthracnose and brown spot. The diagnostic accuracy is higher than 94.7% and the average online diagnosis time is short, about 1 to 1.3 ms. The results indicate that the ECR-based classification model is feasible in the fast and accurate diagnosis of cucumber leaf diseases.
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Bakhronova, Matluba Akhmedovna. "REPRESENTATION OF DISEASE NAMES IN THE LITERATURE." Theoretical & Applied Science 86, no. 06 (June 30, 2020): 141–44. http://dx.doi.org/10.15863/tas.2020.06.86.27.

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Grossman, Murray, Ryan Murray, Phyllis Koenig, Sherry Ash, Katy Cross, Peachie Moore, and Vanessa Troiani. "Verb acquisition and representation in Alzheimer's disease." Neuropsychologia 45, no. 11 (January 2007): 2508–18. http://dx.doi.org/10.1016/j.neuropsychologia.2007.03.020.

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Dissertations / Theses on the topic "Disease representation"

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Bielefeld, Roger Alan. "Fuzzy representation of uncertainty in disease progression." Case Western Reserve University School of Graduate Studies / OhioLINK, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=case1060268903.

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Grinbergs-Saull, Anna. "Patient representation and the research agenda in neurodegenerative disease." Thesis, University of Brighton, 2015. https://research.brighton.ac.uk/en/studentTheses/ab40bfb3-ce1a-4b42-9fbc-479034321619.

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Patient organisations are often characterised in sociological literature as patient representatives, speaking for people affected by an illness in medical, political and scientific spheres. Using Motor Neurone Disease and Parkinson’s organisations as case studies, I investigate the challenges faced by patient organisations attempting to fulfil this role, focusing in particular on the need to balance responsibilities associated with care and campaign functions and increasing engagement in research. The principal focus of this PhD is to examine different conceptualisations of representativeness that have been discussed overtly and implicitly by participants. I have examined the extent to which patient organisations represent their members’ needs and cultivate a sense of collective identity, the way in which the patient organisations represent their members during the setting of research agendas, and finally I have considered the extent to which representation coincides with the concept of patient involvement.
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Downing, Nancy Ruth. "Couples' illness representation and coping procedures in prodromal Huntington disease." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/2693.

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Huntington disease (HD) is a degenerative neurological disease that typically onsets in midlife. It leads to progressively severe impairment in cognitive, behavioral, and motor function and premature death. Persons who test positive for the HD gene expansion know they will develop the disease. Research indicates changes are detectable several years before onset. Thus, HD has a long prodromal period (prHD). While researchers are aware of changes, little is known whether persons with prHD or their companions notice changes, or how they make sense of and cope with them. Leventhal and colleagues developed the Common Sense Model of Illness Representation (CSM) to describe how people make sense of illness. According to the CSM, people notice somatic changes, form illness representations, select coping procedures and evaluate them, and reappraise illness representations in an iterative process. The CSM has been used to explore illness representations in a variety of illnesses, including diagnosed HD. The authors of the model state it is also applicable in anticipated illness but this assertion has not been adequately tested. The purpose of this thesis was to use the CSM to explore and describe illness representations in persons with prHD and their companions. The results of this exploration are presented in three papers. The first paper, presented in Chapter 2, was a preliminary study based on interview data from 8 persons and 7 companions. Results of this analysis indicated persons with prHD and companions noticed and made attributions for changes, suggesting they formed illness representations. However, they were unsure whether some changes were related to HD. Results were considered preliminary because participants were not directly asked to make attributions. Data were also limited to changes in work function and the sample size was small. In the next two papers, 23 couples were interviewed. The purpose of the second paper, presented in Chapter 3, was to explore illness representations in persons with prHD and their companions and evaluate the usefulness of the CSM in anticipated illness using prHD as a model. Results supported preliminary findings: Participants noticed changes, made attributions, used coping strategies and evaluated them. Again, they unsure whether some changes were related to HD. Other elements of the CSM were partially supported by the data. The third paper, presented in Chapter 4, used quantitative and qualitative methods to explore coping in persons with prHD and companions. Participants were asked open-ended questions about how they coped with changes and were also verbally administered the Brief COPE scale. Both quantitative and qualitative data showed participants used active coping, acceptance, planning, and social support. Participants rarely used denial or substance abuse. Persons with prHD used more coping strategies than companions. Three major themes from the qualitative interview were identified: trying to fix it, can't fix it, and not broken yet. Qualitative interviews revealed some coping strategies that the Brief COPE did not measure. Findings from these papers may inform interventions to help people with prHD and companions cope with changes. Persons with prHD and companions might benefit from knowing what changes might be related to HD in order to cope more effectively.
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Michaud, James. "Deconstructing the representation of AIDS in poetry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0001/MQ42414.pdf.

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Oliveira, Ana Angélica Leão de. "Social Representation of Health and Disease: a case study carried out in Piedade de Caratinga city/MG." Centro Universitário de Caratinga, 2006. http://bibliotecadigital.unec.edu.br/bdtdunec/tde_busca/arquivo.php?codArquivo=30.

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lt;p align="justify"gt;Introdução: A saúde é considerada elemento essencial à vida das pessoas, e a doença representa uma ameaça a continuação da vida, sendo por isso evitada e temida. Os fenômenos de saúde e doença podem ser interpretados de diferentes formas, dependendo da ciência que os analisa e do contexto social, econômico, cultural e ambiental em que se expressam. Objetivo: No estudo realizado, procurou-se verificar as representações sociais de saúde e doença e sua relação com a perspectiva de gênero, a partir de usuários do Sistema Único de Saúde no município de Piedade de Caratinga/MG. Materiais e Métodos: Trata-se de um estudo de caso, onde a metodologia qualitativa foi adotada como principal forma de análise. Resultados: As práticas e representações dessas pessoas são fortemente influenciadas por informações obtidas através do corpo de conhecimento médico, com influência positivista e pela rede de informações formadas a partir do contexto social, cultural, econômico e histórico em que vivem. Conclusão: As mulheres aparecem como principais gestoras da saúde de suas famílias e tomam para si as tarefas e cuidados relativos à saúde e à doença, mesmo quando têm outras ocupações além do trabalho doméstico; quanto aos homens, adotam uma postura de afastamento, preocupam-se mais com assuntos relativos à subsistência familiar, neles a doença aparece como uma ameaça.lt;/pgt;
lt;p align="justify"gt; Introduction: The heath is looked upon as an indispensable element for the lives of the people, while disease appears as a threat for life continuation, thus it is avoided and feared. Health and disease phenomena may be interpreted in different forms, depending on the science that analyze them as well as the ambiental, cultural, economical and social context in which they occur. Objectives: In the study that was carried out aimed at verifying the social representation of health and disease and their relationship with the gender perspectives, starting with users of the Sistema Único de Saúde in Piedade de Caratinga municipality/MG. Methods: It deals with a case study where qualitative methodology has been used as the main form for analysis. Results: The uses and representation of those people are strongly influenced by the information coming from the staff members of medical knowledge, with positivist influence and for the information network coming from the historical, economical, cultural and social context in which they live. Conclusion: The women show up as the main managers of health care for their families and they take the tasks and cares related to health and disease into their own hands,even when they perform different tasks in addition to home works. As for the men, they adopt a distant posture and are much more concerned with the subjects relate to family subsistence, feeling disease as a menace.lt;/pgt;
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Geva, Anat. "Semantic hyperpriming in dementia of the Alzheimer's type : a distributed representation approach." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27483.

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Semantic knowledge was investigated in patients diagnosed with Dementia of the Alzheimer's Type (DAT) by means of an off-line probe question battery and an on-line measurement of semantic priming in a lexical decision task (LDT) that varied the stimulus onset asynchrony (SOA). The patients' performance on the detailed probe questions showed that their semantic deficit was confined primarily to animate concepts, characterized by visual descriptive features. In the primed LDT, demented patients demonstrated increased semantic priming compared to age-matched controls. A trend was also found indicating that for both normal controls and DAT subjects the priming magnitude decreased as the SOA increased. These results are interpreted in terms of a distributed representation of semantic knowledge that is impaired in demented patients.
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DUAN, Jie. "The discourse of disease : the representation of SARS - the China daily and the South China Morning Post." Digital Commons @ Lingnan University, 2007. https://commons.ln.edu.hk/eng_etd/5.

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This thesis is a case study on newspaper discourse representation of SARS. The study uses two representative English newspapers in Asia – the China Daily (“CD”) and the South China Morning Post (“SCMP”). By comparing the discursive construction of the same event – the outbreak of SARS - in the two newspapers, it aims to reveal that the practice of news follows institutional, cultural and political assumptions, and also make visible the two newspapers’ embedded attitudes and ideological positions. The methodology is a critical corpus linguistics (CCL) approach, especially using KWIC format (Key Word in context), word frequency, collocation, and concordance data, which is analyzed according to transitivity systems of systemic functional grammar (SFG). The main approach of the study is achieved by a computer-assisted corpus analysis with the help of software “Wordsmith 3.0” (on line version). Results indicate that through the comparison of the newspapers’ corpora, there are statistically significant differences between the two newspapers’ word patterns. First, in the context of SARS, the CD corpus and the SCMP corpus shows different word choice and words frequency in occupying disease-relevant and human-relevant words. Second, when SARS is situated as the node word, the collocation results discuss the observation that the CD tends to treat the SARS epidemic from a national struggle perspective, while the standpoint of the SCMP is more based on the human health and safety, and its social role as the fourth estate. Moreover, the collocation of the three selected keywords is summarized for finding out the general patterns of their concordance lines. Third, according to further concordancing analysis, the study investigates to what extent critical corpus linguistics and transitivity systems of systemic functional grammar can be mutually reinforced and interpreted within the disease discourse context, textually, culturally and ideologically. In particular, a power hierarchy model is established and used in the transitivity analysis. Results show that the two selected newspapers discursively constructed the SARS-issue in a different way, and these differences help to understand how the ideologies work in both newspapers.
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Humphries, Stacey Alexandra. "Gestural communication in Parkinson's disease : language, action and cognition." Thesis, University of Manchester, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.692611.

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Parkinson’s disease (PD) is a neurodegenerative condition which results in severe motor impairment. Deterioration in multiple domains of cognition is another hallmark of PD. Together, these motor and cognitive impairments impact substantially on language and communication. Co-speech gestures are a form of action and are also part of linguistic processes, yet have rarely been explored in PD. Gestures can provide imagistic depictions of concepts described by speech and contribute to communication in healthy individuals. They rely on visual, spatial, and motor simulations and imagery, which may be impaired in PD. It is therefore of clinical importance to evaluate how co-speech gestures might be impaired to understand the extent of communicative impairment in PD. PD can also provide a useful model to understanding the cognitive basis of co-speech gesture in healthy people. In Chapter 2, participants described isolated actions. Gesture rate did not differ between the two groups, however, the groups differed in terms of the visual perspective they adopted when depicting actions in gesture. Controls preferred a “character viewpoint” or first-person perspective where their hands represented the hands of the actor, whereas PD patients preferred an “observer viewpoint” or third-person perspective, where their hand represented a whole person. This finding was replicated and extended in Chapter 3 where low-motion and high-motion actions were described in a longer narrative task. PD patients produced fewer character viewpoint gestures when describing high-motion action events, suggesting a difficulty in simulating these events from a first-person perspective. In addition, PD patients had difficult depicting “manner” (how an action is performed) features in gesture during high but not low motion. Extending the findings of Chapter 2, whilst overall rate of gesture production was not affected, PD patients produced action gestures at a significantly lower rate than controls. Chapter 4 took a different focus by investigating gesture depictions of static spatial (rather than dynamic action) features via a house description task. Gesture rate did not differ, but the groups depicted different types of spatial properties to a different extent. Whilst both groups predominantly gestured about location and relative position information, PD patients gestured more about directions whereas controls gestures more about shape and size information. This suggests that different strategies were being employed by the two groups. Finally, testing young adults’ comprehension of these spatial gestures in Chapter 5 revealed that gestures did not significantly improve comprehension of either PD patients’ or controls’ spoken messages, though there may have been ceiling effects. However, both PD patients and controls were viewed as more competent when their messages were viewed with gestures. The findings suggest a selective action-gesture deficit in PD which complements work demonstrating action-verb impairments in these patients, and supports gesture production theories which hypothesise a role for motor simulations and imagery. Overall gesture rate appears to be largely unaffected. The effects of PD can be felt beyond changes to goal-directed action, in the realms of language and social behaviour, but gestures may be able to improve listeners’ social perceptions of PD patients.
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Balck, Friedrich, and Michael Preuss. "Die unterschiedliche Wahrnehmung und kognitive Repräsentation von Erkrankungen." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1226419100824-22024.

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Erkrankung ist mit mehr oder weniger eindeutigen körperlichen Beschwerden verbunden. Welche Bedeutung die Person diesen Beschwerden gibt, mit welchen Gedanken sie diese Beschwerden verknüpft, wird mit dem Begriff “Krankheitsrepräsentation” zusammengefasst. Dieser Beitrag beschäftigt sich mit der inneren Systematik solcher Krankheitsrepräsentationen und möglichen Einflussfaktoren, durch die es zu sehr unterschiedlichen Krankheitseinschätzungen und zu einem unterschiedlichen Krankheitsverhalten kommt
The emergence of a physical disease is announced by more or less explicit physical complaints. The importance of these complaints for an individual person and the thoughts which are attached to them are summarised in the term “disease representation”. This article deals with the internal system of such disease representation and with influencing factors which may be responsible for differing disease evaluations and different behaviour in connection with diseases
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Younger, Laura Sue. "HIV/AIDS literature the effects of representation on an ethics of care /." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1092520560.

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Thesis (Ph. D.)--Ohio State University, 2004.
Document formatted into pages; contains 282 p. Includes bibliographical references. Abstract available online via OhioLINK's ETD Center; full text release delayed at author's request until 2007 Aug. 16.
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Books on the topic "Disease representation"

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Thomas, R. W. Some spatial representation problems in disease modelling. Manchester: University of Manchester, Centre for Urban Policy Studies, 1988.

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Disease and representation: Images of illness from madness to AIDS. Ithaca: Cornell University Press, 1988.

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Gilman, Sander L. Disease and representation: Images of illness from madness to AIDS. Ithaca: Cornell University Press, 1988.

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The politics of popular representation: Reagan, Thatcher, AIDS, and the movies. Rutherford: Fairleigh Dickinson University Press, 1992.

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The representation of HIV/AIDS in the media and its impact on behavioural change among young people in Namibia: A study of Windhoek and Katima Mulilo. Windhoek, Namibia: Namibia Institute for Democracy, 2008.

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Medina, Raquel. Cinematic Representations of Alzheimer’s Disease. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-53371-5.

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Representations of HIV and AIDS: Visibility blue/s. Manchester: Manchester University Press, 2000.

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Breaking the silence: South African representations of HIV/AIDS. Woodbridge, Suffolk, England: James Currey, 2013.

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Nelson, Trisalyn Anna-Lisa. Large-area mountain pine beetle infestations: Spatial data representation and accuracy. Victoria, British Columbia: Pacific Forestry Centre, 2006.

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Nelson, Trisalyn Anna-Lisa. Large-area mountain pine beetle infestations: Spatial data representation and accuracy. Victoria, British Columbia: Pacific Forestry Centre, 2006.

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Book chapters on the topic "Disease representation"

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Thorsén, David. "Disease, representation, and activism." In A Visual History of HIV/AIDS, 90–104. Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315145310-7.

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Onisko, Agnieszka, Allan Tucker, and Marek J. Druzdzel. "Prediction and Prognosis of Health and Disease." In Foundations of Biomedical Knowledge Representation, 181–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28007-3_11.

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Riaño, David, and Agusti Solanas. "Exploiting the Relation Between Environmental Factors and Diseases: A Case Study on Chronic Obstructive Pulmonary Disease." In Knowledge Representation for Health Care, 160–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13281-5_12.

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Tucker, Allan, Yuanxi Li, Stefano Ceccon, and Stephen Swift. "Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies." In Foundations of Biomedical Knowledge Representation, 189–205. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28007-3_12.

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Bishop, George D. "Understanding the Understanding of Illness: Lay Disease Representations." In Mental Representation in Health and Illness, 32–59. New York, NY: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4613-9074-9_3.

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Davis, Jesse, Luis Enrique Sucar, and Felipe Orihuela-Espina. "Treatment of Disease: The Role of Knowledge Representation for Treatment Selection." In Foundations of Biomedical Knowledge Representation, 235–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28007-3_15.

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Riaño, David, and Alberto Fernández-Pérez. "Simulation-Based Episodes of Care Data Synthetization for Chronic Disease Patients." In Knowledge Representation for Health Care, 36–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55014-5_3.

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Traub, Valerie. "Invading Bodies/Bawdy Exchanges: Disease, Desire, and Representation." In Shakespeare’S Problem Plays, 177–98. London: Macmillan Education UK, 2005. http://dx.doi.org/10.1007/978-1-137-20890-3_10.

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Krupicka, Radim, Z. Szabo, and P. Janda. "Parametric Representation of Hand Movement in Parkinson’s Disease." In IFMBE Proceedings, 85–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_22.

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Hamdi, Ali, Amr Aboeleneen, and Khaled Shaban. "MARL: Multimodal Attentional Representation Learning for Disease Prediction." In Lecture Notes in Computer Science, 14–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87156-7_2.

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Conference papers on the topic "Disease representation"

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Zhao, Stan, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, and ChengXiang Zhai. "ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/489.

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Online users have generated a large amount of health-related data on medical forums and search engines. However, exploiting these rich data for orienting patient online and assisting medical checkup offline is nontrivial due to the sparseness of existing symptom-disease links, which caused by the natural and chatty expressions of symptoms. In this paper, we propose a novel and general representation learning method ContextCare for human generated health-related data, which learns the latent relationship between symptoms and diseases from the symptom-disease diagnosis network for disease prediction, disease category prediction and disease clustering. To alleviate the network sparseness, ContextCare adopts regularizations from rich contextual information networks including a symptom co-occurrence network and a disease evolution network. Therefore, our representations of symptoms and diseases incorporate knowledge from these three networks. Extensive experiments on medical forum data demonstrate that ContextCare outperforms the state-of-the-art methods in disease category prediction, disease prediction and disease clustering.
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Qin, Ruiqi, Lei Duan, Huiru Zheng, Jesse Li-Ling, Kaiwen Song, and Xuan Lan. "RADAR: Representation Learning across Disease Information Networks for Similar Disease Detection." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621436.

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Choi, Jinho D., Mengmei Li, Felicia Goldstein, and Ihab Hajjar. "Meta-Semantic Representation for Early Detection of Alzheimer’s Disease." In Proceedings of the First International Workshop on Designing Meaning Representations. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-3309.

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Moreno, Alejandra, Jefferson Rodriguez, and Fabio Martinez. "Regional Multiscale Motion Representation for Cardiac Disease Prediction." In 2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA). IEEE, 2019. http://dx.doi.org/10.1109/stsiva.2019.8730231.

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Pratapagiri, Sreenivas, Rekha Gangula, Ravi G, B. Srinivasulu, B. Sowjanya, and Lingala Thirupathi. "Early Detection of Plant Leaf Disease Using Convolutional Neural Networks." In 2021 3rd International Conference on Electronics Representation and Algorithm (ICERA). IEEE, 2021. http://dx.doi.org/10.1109/icera53111.2021.9538659.

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Qureshi, Hammad, Shamila Keyani, Qurrat-ul-Ain Babar, and Ahmad Atif Mumtaz. "Monitoring Disease Outbreak through Geographical Representation in Rural Areas." In 2011 Developments in E-systems Engineering (DeSE). IEEE, 2011. http://dx.doi.org/10.1109/dese.2011.90.

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Zhang, Yuyao, Philip O. Ogunbona, Wanqing Li, Bridget Munro, and Gordon G. Wallace. "Pathological Gait Detection of Parkinson's Disease Using Sparse Representation." In 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2013. http://dx.doi.org/10.1109/dicta.2013.6691510.

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Youn, Young-Shin, Kyung-Min Nam, Hye-Jeong Song, Jong-Dae Kim, Chan-Young Park, and Yu-Seop Kim. "Wore Representation Analysis of Bio-marker and Disease Word." In Green and Smart Technology 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.120.156.

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Zhang Xiaoshuan, Fu Zetian, Wen Jiwen, and Wang Ruimei. "On knowledge representation in fish disease diagnosis expert system." In 2003, Las Vegas, NV July 27-30, 2003. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13928.

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Zhang, Han, and Bob Zhang. "Disease Detection Using Tongue Geometry Features with Sparse Representation Classifier." In 2014 International Conference on Medical Biometrics (ICMB). IEEE, 2014. http://dx.doi.org/10.1109/icmb.2014.25.

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Reports on the topic "Disease representation"

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Thanda Kyaw, Ai. Socio-Economic Impacts of Foot and Mouth Disease Among Cattle Farmers in Sagaing and Mandalay Areas, Myanmar. O.I.E (World Organisation for Animal Health), May 2014. http://dx.doi.org/10.20506/standz.2784.

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The World Organisation for Animal Health (OIE) Sub-Regional Representation for South East Asia (OIE SRR-SEA) implemented the Stop Transboundary Animal Diseases and Zoonoses (STANDZ) Programme funded by AusAID to strengthen the veterinary services and effectively manage the control and eradication of foot and mouth disease (FMD) in Cambodia, Lao PDR and Myanmar. The purpose of the study is to understand how FMD outbreaks impact smallholder farmers, both men and women, at the household and village level and how control and eradication of FMD would benefit them. Specific aims are to estimate the direct and indirect socio-economic costs associated with the outbreaks of FMD as well as of the measures taken by farmers to deal with such outbreaks and to identify issues that contributed to the socio-economic impacts of FMD outbreaks and opportunities to reduce them.
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Kelly, Luke. Characteristics of Global Health Diplomacy. Institute of Development Studies (IDS), June 2021. http://dx.doi.org/10.19088/k4d.2021.09.

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This rapid review focuses on Global Health Diplomacy and defines it as a method of interaction between the different stakeholders of the public health sector in a bid to promote representation, cooperation, promotion of the right to health and improvement of health systems for vulnerable populations on a global scale. It is the link between health and international relations. GHD has various actors including states, intergovernmental organizations, private companies, public-private partnerships and non-governmental organizations. Foreign policies can be integrated into national health in various ways i.e., designing institutions to govern practices regarding health diplomacy (i.e., health and foreign affairs ministries), creating and promoting norms and ideas that support foreign policy integration and promoting policies that deal with specific issues affecting the different actors in the GHD arena to encourage states to integrate them into their national health strategies. GHD is classified into core diplomacy – where there are bilateral and multilateral negotiations which may lead to binding agreements, multistakeholder diplomacy – where there are multilateral and bilateral negotiations which do not lead to binding agreements and informal diplomacy – which are interactions between other actors in the public health sector i.e., NGOs and Intergovernmental Organizations. The US National Security Strategy of 2010 highlighted the matters to be considered while drafting a health strategy as: the prevalence of the disease, the potential of the state to treat the disease and the value of affected areas. The UK Government Strategy found the drivers of health strategies to be self-interest (protecting security and economic interests of the state), enhancing the UK’s reputation, and focusing on global health to help others. The report views health diplomacy as a field which requires expertise from different disciplines, especially in the field of foreign policy and public health. The lack of diplomatic expertise and health expertise have been cited as barriers to integrating health into foreign policies. States and other actors should collaborate to promote the right to health globally.
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Fourth national report on human exposure to environmental chemicals. National Center for Environmental Health, March 2021. http://dx.doi.org/10.15620/cdc:105345.

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"The Updated Tables, March 2021) presents nationally representative, cumulative biomonitoring data gathered from 1999–2000 through 2015–2016. It includes all the data from each of the previous National Reports on Human Exposure to Environmental Chemicals and each of the previous Updated Tables (collectively, the Report and Updated Tables). In each survey period, the reported chemicals or their metabolites were measured in blood, serum, and urine samples from random subsamples of the National Health and Nutrition Examination Survey (NHANES). These subsamples typically consisted of about 2,500 participants – exact numbers are included in the tables. Survey data and samples are collected by the Centers for Disease Control and Prevention (CDC) National Center for Health Statistics. CDC’s Environmental Health Laboratory (Division of Laboratory Sciences (DLS), National Center for Environmental Health) used mass spectrometry methods to obtain the blood, serum, and urine exposure measurements presented in the Report and Updated Tables. Volume One (1999-2010) and Volume Two (2011-2016) contain data tables for chemicals measured in the general U.S. population Volume Two: NHANES 2011-2016 provides data on the general U.S. population from NHANES 2011-2012, 2013–2014, and 2015-2016. CS272983-A FourthReport_UpdatedTables_Volume2_Mar2021-508.pdf"
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Fourth national report on human exposure to environmental chemicals. Updated tables, March 2021 : volume two: NHANES 2011-2016. National Center for Environmental Health (U.S.), March 2021. http://dx.doi.org/10.15620/105345.

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"The Fourth National Report on Human Exposure to Environmental Chemicals: Updated Tables, March 2021 (the Updated Tables, March 2021) presents nationally representative, cumulative biomonitoring data gathered from 1999–2000 through 2015–2016. It includes all the data from each of the previous National Reports on Human Exposure to Environmental Chemicals and each of the previous Updated Tables (collectively, the Report and Updated Tables). In each survey period, the reported chemicals or their metabolites were measured in blood, serum, and urine samples from random subsamples of the National Health and Nutrition Examination Survey (NHANES). These subsamples typically consisted of about 2,500 participants – exact numbers are included in the tables. Survey data and samples are collected by the Centers for Disease Control and Prevention (CDC) National Center for Health Statistics. CDC’s Environmental Health Laboratory (Division of Laboratory Sciences (DLS), National Center for Environmental Health) used mass spectrometry methods to obtain the blood, serum, and urine exposure measurements presented in the Report and Updated Tables. Volume One (1999-2010) and Volume Two (2011-2016) contain data tables for chemicals measured in the general U.S. population Volume Two: NHANES 2011-2016 provides data on the general U.S. population from NHANES 2011-2012, 2013–2014, and 2015-2016. CS272983-A FourthReport_UpdatedTables_Volume2_Mar2021-508.pdf"
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