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Factors to improve distress and fatigue in Cancer survivorship; further understanding through text analysis of interviews by machine learning.

Kyungmi YangJina KimMison ChunMi Sun AhnEunae ChonJinju ParkMijin Jung
Published in: BMC cancer (2021)
Common symptoms and practical issues were related to distress and fatigue in the survey. Through text analysis, however, we realized that the specific issues and their relationship such as family problem were more complicated. Although further research needs to explore the hidden problem in cancer patients, this study was meaningful to use personalized approach such as interviews.
Keyphrases
  • machine learning
  • sleep quality
  • smoking cessation
  • papillary thyroid
  • childhood cancer
  • artificial intelligence
  • cross sectional
  • squamous cell
  • depressive symptoms
  • big data