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Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
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Department of Psychology, University of Illinois at Urbana-Champaign.
Schizotypy is a multidimensional construct that is composed of positive, negative, and disorganized dimensions. Historically, disorganized schizotypy, which involves disruptions in thoughts, speech, behavior, and affect, has been relatively understudied and less clearly operationalized than the other dimensions. The present study employed experience sampling methodology to examine the associations of positive, negative, and disorganized schizotypy, as measured by the Multidimensional Schizotypy Scale, with daily life experiences.
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Programa de Pós-Graduação em Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos, 6627, Pampulha, CEP 31270901 Belo Horizonte, Minas Gerais, Brazil.
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