Longitudinal Symptom Forecasting

Longitudinal Symptom Forecasting is a predictive modeling framework that enables the continuous, time-resolved estimation of symptom trajectories over extended periods by integrating sequential health observations with temporal dynamics.

6

Publications

182

Citations

32

Authors

27

Institutions

Publications per year

2017–2026

6

Publications

6

1–5 of 6

Authors

32

  1. JM
    Joanne Mouthaan

    Leiden University, Netherlands

    1 publications · 58 citations

    1

    h-index

  2. SM
    Sarah M. Chacko

    Dartmouth College, United States

    1 publications · 18 citations

    1

    h-index

  3. SL
    Sinéad Langan

    London School of Hygiene & Tropical Medicine, United Kingdom

    1 publications · 36 citations

    1

    h-index

  4. RM
    Rina Matsumura

    Dartmouth College, United States

    1 publications · 18 citations

    1

    h-index

  5. IC
    Ieuan Clay

    Novartis (Switzerland), Switzerland

    1 publications · 19 citations

    1

    h-index

1–5 of 32

Venues

  1. Clinical & Experimental Allergy

    1 publications · 36 citations

    1

    h-index

  2. JMIR Mental Health

    JMH · 1 publications · 41 citations

    1

    h-index

  3. Neurobiology of Stress

    1 publications · 58 citations

    1

    h-index

  4. Journal of Affective Disorders

    1 publications · 18 citations

    1

    h-index

  5. JMIR mhealth and uhealth

    1 publications · 19 citations

    1

    h-index

1–5