Identification of hand-foot syndrome from cancer patients’ blog posts: bert-based deep-learning approach to detect potential adverse drug reaction symptoms

HIGHLIGHTS

• who: Satoshi Nishioka et al. from the Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan, Department of have published the Article: Identification of hand-foot syndrome from cancer patientsu2019 blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptoms, in the Journal: PLOS ONE of November/22,/2021
• what: The aim of this study was to examine whether cutting-edge deep-learning methods can identify patients with potential ADRs from patient blogs, focusing on HFS. Among the 110 articles, 25 included specific anti-cancer drug names within the . . .
  

   

  

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