Login / Signup

The Optimal Cutoff Point for Expressing Revised Edmonton Symptom Assessment System Scores as Binary Data Indicating the Presence or Absence of Symptoms.

Jun KakoMasamitsu KobayashiYusuke KannoAsao OgawaTomofumi MiuraYoshihisa Matsumoto
Published in: The American journal of hospice & palliative care (2018)
Our results suggest that physical symptoms other than drowsiness could potentially predict ESAS-r score severity.
Keyphrases
  • sleep quality
  • physical activity
  • mental health
  • electronic health record
  • big data
  • ionic liquid
  • depressive symptoms
  • data analysis
  • deep learning