Symptom Tracking

Symptom Tracking is a systematic method within home-based care informatics that involves the longitudinal collection, documentation, and analysis of patient-reported and sensor-derived indicators of disease manifestations using mobile health applications and wearable health technologies to support chronic disease management through patient-generated health data.

285

Publications

16.2K

Citations

1.9K

Authors

671

Institutions

Publications per year

2017–2026

216

Authors

1.9K

  1. TW
    Til Wykes

    King's College London, United Kingdom

    6 publications · 256 citations

    6

    h-index

  2. JT
    John Torous

    Beth Israel Deaconess Medical Center, United States

    5 publications · 300 citations

    5

    h-index

  3. AT
    Andrew T. Campbell

    Dartmouth College, United States

    5 publications · 803 citations

    5

    h-index

  4. TC
    Tanzeem Choudhury

    Cornell University, United States

    5 publications · 585 citations

    5

    h-index

  5. DI
    Dimitrios I. Fotiadis

    University of Ioannina, Greece

    4 publications · 166 citations

    4

    h-index

1–5 of 1.9K

Venues

  1. Journal of Medical Internet Research

    13 publications · 690 citations

    12

    h-index

  2. JMIR mhealth and uhealth

    10 publications · 516 citations

    10

    h-index

  3. medRxiv

    Repository · 7 publications · 287 citations

    7

    h-index

  4. JMIR Formative Research

    4 publications · 106 citations

    5

    h-index

  5. 5

    h-index

1–5