Personalized Symptom Tracking

Personalized Symptom Tracking is a computational health methodology that individualizes the monitoring and analysis of patient-reported symptoms through adaptive data collection and user-specific modeling to enhance clinical insight and intervention precision.

5

Publications

156

Citations

28

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

28

  1. RZ
    Rui Zhao

    Children's Hospital of Fudan University, China

    1 publications · 15 citations

    1

    h-index

  2. XQ
    Xiang Qi

    New York University, United States

    1 publications · 15 citations

    1

    h-index

  3. YW
    Yuki Watanabe

    National Cancer Center Hospital East, Japan

    1 publications · 14 citations

    1

    h-index

  4. AI
    Akira Inoue

    Tohoku University, Japan

    1 publications · 14 citations

    1

    h-index

  5. BW
    Bei Wu

    New York University, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 28

Venues

  1. Supportive Care in Cancer

    1 publications · 14 citations

    1

    h-index

  2. Annual Review of Nursing Research

    1 publications · 28 citations

    1

    h-index

  3. Journal of Personalized Medicine

    JPM · 1 publications · 15 citations

    1

    h-index

  4. Frontiers in Psychiatry

    1 publications · 65 citations

    1

    h-index

1–5