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2021

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Navigating Internalized Stigma And Identity Development In Bipolar Disorder I: A Grounded Theory Investigation., Kaylyn L. Watterson Jan 2021

Navigating Internalized Stigma And Identity Development In Bipolar Disorder I: A Grounded Theory Investigation., Kaylyn L. Watterson

Electronic Theses and Dissertations

Mental illness stigma occurs at multiple levels in Western societies. Internalized stigma, the application of negative stereotypes and prejudice about mental illness to self-concept, has deleterious effects on mental health for adults living with a serious mental illness. Historically, research on stigma in serious mental illness has centered on schizophrenia. Recently, researchers and clinicians have drawn attention to bipolar disorder I, an affective disorder that creates disruptions in functioning and increased risk for substance abuse and suicide. Despite the growing literature establishing the relationship between recovery in serious mental illness and identity, little is known about how adults in long-term …

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"Who Can Help Me?'': Knowledge Infused Matching Of Support Seekers And Support Providers During Covid-19 On Reddit, Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit Sheth Jan 2021

"Who Can Help Me?'': Knowledge Infused Matching Of Support Seekers And Support Providers During Covid-19 On Reddit, Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit Sheth

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During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user's requests for help (support seekers - SSs) including individuals with varying professions and experiences with diverse perspectives on care (support providers - SPs). Currently, knowledgeable human moderators match an SS with a user with relevant experience, i.e, an SP on these subreddits. This unscalable process defers timely care. We present a medical knowledge-infused approach to efficient matching of SS and SPs validated by experts for the users affected by anxiety and depression, in the context of with COVID-19. After matching, each SP to …

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Semantics Of The Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable And Explainable?, Manas Gaur, Keyur Faldu, Amit Sheth Jan 2021

Semantics Of The Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable And Explainable?, Manas Gaur, Keyur Faldu, Amit Sheth

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The recent series of innovations in deep learning (DL) have shown enormous potential to impact individuals and society, both positively and negatively. The DL models utilizing massive computing power and enormous datasets have significantly outperformed prior historical benchmarks on increasingly difficult, well-defined research tasks across technology domains such as computer vision, natural language processing, signal processing, and human-computer interactions. However, the Black-Box nature of DL models and their over-reliance on massive amounts of data condensed into labels and dense representations poses challenges for interpretability and explainability of the system. Furthermore, DLs have not yet been proven in their ability to …

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