Symptom Data Quality
Symptom Data Quality is a metric that assesses the accuracy, completeness, consistency, and timeliness of symptom-related health data collected through Symptom Tracking Systems to ensure its reliability and usefulness for clinical or research purposes.
31
Publications
1.5K
Citations
198
Authors
116
Institutions
Publications per year
2017–2026
11
Parents
31
1–5 of 31
198
4
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 198
116
Duke University
Durham, United States
4 h-index
9 publications
239 citations
Medical University of Vienna
Vienna, Austria
4 h-index
15 publications
599 citations
University of Vienna
Vienna, Austria
3 h-index
8 publications
356 citations
University of California, San Francisco
San Francisco, United States
3 h-index
6 publications
489 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
4 publications
136 citations
University of Washington
Seattle, United States
2 h-index
3 publications
200 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
284 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
3 publications
82 citations
1–8 of 116
2 publications · 99 citations
2
h-index
1 publications · 32 citations
1
h-index
1 publications · 37 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 28 citations
1
h-index
1–5