Publications by authors named "Qiuman Li"

Article Synopsis
  • The study analyzes the needs and online behaviors of glaucoma patients by using big data and Natural Language Processing (NLP) linked to deep learning techniques.
  • Researchers collected and classified 10,892 posts from Baidu Tieba into those seeking medical advice and those discussing social support or expressing emotions.
  • The findings showed that a majority of posts sought medical advice, with a successful classification accuracy of 89.1% using the BERT model; the study highlights the potential of social media and NLP in improving glaucoma patient care and health monitoring.
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Article Synopsis
  • * Out of 50 children followed for about 4 years after the closure, 20% showed some progression of AR, mostly remaining at mild levels, with none developing severe AR.
  • * Risk factors for AR progression identified include increased x-ray exposure time and a higher ratio of pulmonary to systemic blood flow, indicating that careful monitoring is essential post-surgery.
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