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Digital Phenotyping of Psychological Distress in Skin Cancer Patients
digital-phenotypingmelanoma-skin-cancernatural-language-processingpsychological-distressskin-cancersocial-mediasuicide-preventiontransformer
This prospective observational study enrolls 500 skin cancer patients across five Chinese tertiary care centers. The investigators use natural language processing and a hierarchical transformer model to analyse 1.2 million social media posts (Weibo, Douyin, Xiaohongshu, WeChat) for psychological distress and suicide ideation, with prospective validation of an AI Early Warning System.
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