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

Authors

198

  1. KB
    Katharina Bastl

    Medical University of Vienna, Austria

    4 publications · 161 citations

    4

    h-index

  2. UB
    Uwe Berger

    Medical University of Vienna, Austria

    4 publications · 161 citations

    4

    h-index

  3. MK
    Maximilian Kmenta

    Medical University of Vienna, Austria

    2 publications · 99 citations

    2

    h-index

  4. RZ
    Reinhard Zetter

    University of Vienna, Austria

    2 publications · 70 citations

    2

    h-index

  5. MA
    Max A. Little

    University of Oxford, United Kingdom

    2 publications · 51 citations

    2

    h-index

1–5 of 198

Venues

  1. The Science of The Total Environment

    2 publications · 99 citations

    2

    h-index

  2. Alimentary Pharmacology & Therapeutics

    1 publications · 32 citations

    1

    h-index

  3. Journal of Medical Internet Research

    1 publications · 37 citations

    1

    h-index

  4. Evaluation & the Health Professions

    1 publications · 15 citations

    1

    h-index

  5. Psychiatry Research

    1 publications · 28 citations

    1

    h-index

1–5