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
Parents
6
Katharina Schultebraucks, Marit Sijbrandij, Isaac R. Galatzer‐Levy et al. · Neurobiology of Stress · 2021 · 58 citations · Full text
Medicine, Emergency Medical Services, Emergency Medicine +15
Katrina Hueniken, Nibene Habib Somé, Mohamed Abdelhack et al. · JMIR Mental Health · 2021 · 41 citations · Full text
Mariko Makhmutova, Raghu Kainkaryam, Marta Ferreira et al. · JMIR mhealth and uhealth · 2022 · 19 citations · Full text
1–5 of 6
32
1
h-index
1
h-index
London School of Hygiene & Tropical Medicine, United Kingdom
1 publications · 36 citations
1
h-index
1
h-index
1
h-index
1–5 of 32
27

Western University
London, Canada
1 h-index
3 publications
123 citations
Dartmouth College
Hanover, United States
1 h-index
2 publications
36 citations

University of Toronto
Toronto, Canada
1 h-index
7 publications
287 citations

University of Nottingham
Nottingham, United Kingdom
1 h-index
1 publications
36 citations
Arq Psychotrauma Expert Group
Diemen, The Netherlands
1 h-index
1 publications
58 citations

Columbia University Irving Medical Center
New York, United States
1 h-index
1 publications
58 citations
Amsterdam Neuroscience
Amsterdam, The Netherlands
1 h-index
2 publications
116 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
58 citations
1–8 of 27
1 publications · 36 citations
1
h-index
JMH · 1 publications · 41 citations
1
h-index
1 publications · 58 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 19 citations
1
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1–5