Ontology highlight
ABSTRACT: Background
Medical self-diagnostic tools (or symptom checkers) are becoming an integral part of digital health and our daily lives, whereby patients are increasingly using them to identify the underlying causes of their symptoms. As such, it is essential to rigorously investigate and comprehensively report the diagnostic performance of symptom checkers using standard clinical and scientific approaches.Objective
This study aims to evaluate and report the accuracies of a few known and new symptom checkers using a standard and transparent methodology, which allows the scientific community to cross-validate and reproduce the reported results, a step much needed in health informatics.Methods
We propose a 4-stage experimentation methodology that capitalizes on the standar
SUBMITTER: Hammoud M
PROVIDER: S-EPMC11091811 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature