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Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
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In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022)
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Predicitors of the use of noun based mental disorder labels for NSSI and depression in youths ...
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Cultural Factors Influencing Mental Health Stigma: Perceptions of Mental Illness (POMI) in Pakistani Emerging Adults
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In: Religions; Volume 13; Issue 5; Pages: 401 (2022)
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Stigma and Sentiment: The Perception of Terms Related to Sex Industry Participants
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"Autism is me": an investigation of how autistic individuals make sense of autism and stigma
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Determinants and effects or consequences of internal HIV-related stigma among people living with HIV in Morocco
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In: ISSN: 1471-2458 ; EISSN: 1471-2458 ; BMC Public Health ; https://www.hal.inserm.fr/inserm-03218285 ; BMC Public Health, BioMed Central, 2021, 21, pp.163. ⟨10.1186/s12889-021-10204-1⟩ (2021)
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Stuttering Accommodations in Professional Environments: The Intersectionality between Multiculturalism, Multilingualism, Stigma, Disability Identity and Rights
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In: Student Research Symposium (2021)
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RAPE AND MOLKA IN CLUB BURNING SUN: ANALYZING SOUTH KOREAN NEWSPAPER PORTRAYALS OF SEXUAL VIOLENCE AGAINST WOMEN ...
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RAPE AND MOLKA IN CLUB BURNING SUN: ANALYZING SOUTH KOREAN NEWSPAPER PORTRAYALS OF SEXUAL VIOLENCE AGAINST WOMEN ...
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Social Essentialism in Identity-First and Person-First Language ...
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The Effect of Labeling on Perceptions of Vignette Characters ...
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Online or onsite? Comparison of the relative merit of delivery format of Aboriginal cultural-awareness-training to undergraduate chiropractic students
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In: Research outputs 2014 to 2021 (2021)
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Sex work and speech: the public perception of terms describing sex industry participants
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Examining the Relationship Between Labels, Stigma, and Mental Disorders ...
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University Scholar Series: Pei-Tzu Tsai
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In: University Scholar Series (2021)
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Material educativo sobre o estigma à saúde mental entre profissionais da saúde no atendimento a pacientes de difícil manejo de um hospital geral
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Australian and Indian nursing students’ skills and attitudes surrounding mental illness: Preparing for a transnational nursing education collaboration
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In: Test Series for Scopus Harvesting 2021 (2021)
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Measuring the paradox of self-stigma: psychometric properties of a brief scale.
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In: Annals of general psychiatry, vol. 20, no. 1, pp. 5 (2021)
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Spaces and Societal Interactions: Foundations of the Critical Disabled Cultural Lens of a Child of Disabled Adults
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In: Educational Administration: Theses, Dissertations, and Student Research (2021)
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Overcoming Alzheimer’s Disease Stigma by Leveraging Artificial Intelligence and Blockchain Technologies
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In: Brain Sciences ; Volume 10 ; Issue 3 (2020)
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Abstract:
Alzheimer&rsquo ; s disease (AD) imposes a considerable burden on those diagnosed. Faced with a neurodegenerative decline for which there is no effective cure or prevention method, sufferers of the disease are subject to judgement, both self-imposed and otherwise, that can have a great deal of effect on their lives. The burden of this stigma is more than just psychological, as reluctance to face an AD diagnosis can lead people to avoid early diagnosis, treatment, and research opportunities that may be beneficial to them, and that may help progress towards fighting AD and its progression. In this review, we discuss how recent advents in information technology may be employed to help fight this stigma. Using artificial intelligence (AI) technologies, specifically natural language processing (NLP), to classify the sentiment and tone of texts, such as those of online posts on various social media sites, has proven to be an effective tool for assessing the opinions of the general public on certain topics. These tools can be used to analyze the public stigma surrounding AD. Additionally, there is much concern among individuals that an AD diagnosis, or evidence of pre-clinical AD such as a biomarker or imaging test results, may wind up unintentionally disclosed to an entity that may discriminate against them. The lackluster security record of many medical institutions justifies this fear to an extent. Adopting more secure and decentralized methods of data transfer and storage, and giving patients enhanced ability to control their own data, such as a blockchain-based method, may help to alleviate some of these fears.
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Keyword:
Alzheimer’s disease; artificial intelligence; blockchain; natural language processing; sentiment analysis; social media; stigma
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URL: https://doi.org/10.3390/brainsci10030183
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