Exploring the Narratives of Patients With Cancer Using Large Language Models: Topic Modeling and Social Network Analysis

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The global cancer burden reached 20 million new cases in 2022, with 1 in 5 individuals developing cancer in their lifetime.
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Survivorship rates have improved, with an estimated 69.9% of cancer patients surviving at least 5 years post-diagnosis.
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Cancer treatments are associated with various psychosocial stressors that can affect treatment adherence and quality of life.
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Traditional research methods in oncology are limited by scope and recall bias, making it difficult to capture evolving patient experiences.
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The study proposes using TopicGPT and network analysis to explore psychosocial issues in cancer patients through large-scale narrative analysis.

Journal Of Medical Internet Research (Jmir)

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