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The Potential of Evidence-Based Clinical Intake Tools to Discover or Ground Prevalence of Symptoms Using Real-Life Digital Health Encounters: Retrospective Cohort Study.

Eden AvnatMichael SaminDaniel Ben JoyaEyal SchneiderElia YankoDafna EshelShahar OvadiaYossi LevDaniel Souroujon
Published in: Journal of medical Internet research (2024)
ECBITs, such as Kahun, encompass extensive amounts of knowledge and could serve as a reliable database for inferring medical insights and diagnoses. Using this credible database, the potential prevalence of symptoms in different disorders was discovered or grounded. This highlights the ability of ECBITs to refine the understanding of relationships between disorders and symptoms, which further supports physicians in medical diagnosis.
Keyphrases
  • healthcare
  • risk factors
  • sleep quality
  • public health
  • human health
  • mental health
  • health information
  • climate change
  • depressive symptoms