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 Avnat Michael Samin Daniel Ben Joya Eyal Schneider Elia Yanko Dafna Eshel Shahar Ovadia Yossi Lev Daniel 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
primary care
sleep quality
human health
public health
adverse drug
emergency department
risk assessment
physical activity
weight gain
climate change
social media