Patient Behavior Analytics

Patient Behavior Analytics is a methodological framework within Mobile Health Analytics that systematically characterizes individual health-related actions, decisions, and adherence patterns through the collection, integration, and analysis of longitudinal behavioral data derived from mobile devices and wearable sensors.

71

Publications

4.8K

Citations

344

Authors

170

Institutions

Publications per year

2017–2026

46

Authors

344

  1. EP
    Ewa Piotrowicz

    Institute of Cardiology, Poland

    3 publications · 99 citations

    3

    h-index

  2. LY
    Lin Y. Chen

    University of Minnesota, United States

    3 publications · 99 citations

    3

    h-index

  3. JC
    Jean‐Philippe Couderc

    University of Rochester Medical Center, United States

    3 publications · 99 citations

    3

    h-index

  4. JP
    Jonathan P. Piccini

    Clinical Research Institute, United States

    3 publications · 99 citations

    3

    h-index

  5. MS
    Matcheri S. Keshavan

    Harvard University, United States

    3 publications · 566 citations

    3

    h-index

1–5 of 344

Venues

  1. JMIR mhealth and uhealth

    5 publications · 315 citations

    5

    h-index

  2. PubMed

    Repository · 4 publications · 76 citations

    4

    h-index

  3. Journal of Medical Internet Research

    3 publications · 88 citations

    3

    h-index

  4. Journal of Healthcare Engineering

    2 publications · 34 citations

    2

    h-index

  5. American Journal of Psychiatry

    2 publications · 48 citations

    2

    h-index

1–5