Symptom Reporting Accuracy
Symptom Reporting Accuracy is a metric that quantifies the degree to which self-reported symptom data corresponds to clinically observed or objectively verified symptom occurrences, distinguishing it from other symptom reporting constructs by emphasizing fidelity to ground-truth physiological or diagnostic evidence.
81
Publications
6K
Citations
422
Authors
183
Institutions
Publications per year
2017–2026
26
Parents
81
Real-time tracking of self-reported symptoms to predict potential COVID-19
Cristina Menni, Ana M. Valdes, Maxim B. Freidin et al. · Nature Medicine · 2020 · 1.5K citations · Full text
The accuracy of pain and fatigue items across different reporting periods
Joan E. Broderick, Joseph E. Schwartz, Gregory Vikingstad et al. · Pain · 2008 · 299 citations · Full text
Reliability of adverse symptom event reporting by clinicians
Thomas M. Atkinson, Yuelin Li, Charles W. Coffey et al. · Quality of Life Research · 2011 · 230 citations · Full text
1–5 of 81
422
4
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 422
183
Maastricht University
Maastricht, The Netherlands
4 h-index
13 publications
293 citations
University of Washington
Seattle, United States
3 h-index
6 publications
1K citations
Emory University
Atlanta, United States
3 h-index
16 publications
1.1K citations
University of Iowa
Iowa City, United States
2 h-index
3 publications
162 citations
Technical University of Munich
Munich, Germany
2 h-index
4 publications
173 citations

University of Auckland
Auckland, New Zealand
2 h-index
21 publications
912 citations

University of Glasgow
Glasgow, United Kingdom
2 h-index
3 publications
107 citations

University of Exeter
Exeter, United Kingdom
2 h-index
2 publications
140 citations
1–8 of 183
4 publications · 286 citations
4
h-index
Repository · 3 publications · 62 citations
3
h-index
3 publications · 101 citations
3
h-index
3 publications · 157 citations
3
h-index
3 publications · 378 citations
3
h-index
1–5