Symptom Interaction Modeling is a computational or statistical framework that characterizes the dynamic interdependencies among co-occurring symptoms by identifying their underlying causal, temporal, or network-based relationships within a given health condition.
47
Publications
6K
Citations
222
Authors
122
Institutions
Publications per year
2017–2026
38
Parents
Publications
47
A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data
Laura F. Bringmann, Nathalie Vissers, Marieke Wichers et al. · PLoS ONE · 2013 · 722 citations · Full text
Major Depression as a Complex Dynamic System
Angélique O. J. Cramer, Claudia D. van Borkulo, Erik J. Giltay et al. · PLoS ONE · 2016 · 568 citations · Full text
Engineering, Psychiatry, Psychology +17
1–5 of 47
Authors
222
- DB
6
h-index
- EI
5
h-index
- AO
4
h-index
- OV
3
h-index
- CD
3
h-index
1–5 of 222
Institutions
122
University of Amsterdam
Amsterdam, The Netherlands
12 h-index
31 publications
7.5K citations
Harvard University
Cambridge, United States
6 h-index
14 publications
6K citations
Massachusetts General Hospital
Boston, United States
4 h-index
6 publications
563 citations
University of Groningen
Groningen, The Netherlands
3 h-index
4 publications
702 citations
UCLouvain
Louvain-la-Neuve, Belgium
3 h-index
9 publications
437 citations
Second Xiangya Hospital of Central South University
Changsha, China
3 h-index
9 publications
413 citations
University of Oslo
Oslo, Norway
3 h-index
10 publications
418 citations
Amsterdam University of Applied Sciences
Amsterdam, The Netherlands
3 h-index
4 publications
835 citations
1–8 of 122
Venues
- Psychological Medicine
3 publications · 1K citations
3
h-index
- Scientific Reports
2 publications · 210 citations
2
h-index
- BMC Psychiatry
2 publications · 127 citations
2
h-index
- Frontiers in Public Health
2 publications · 68 citations
2
h-index
- PLoS ONE
2 publications · 1.3K citations
2
h-index
1–5