S de Witt
Biographic Data
| ID | 10199542 |
|---|---|
| NAME | S de Witt |
| GIVEN NAMES | S |
| FAMILY NAME | de Witt |
| SIGNATURE | DE WITT S |
| AFFILIATIONS | Heidelberg University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting psychopathology symptom trajectories using machine learning
BACKGROUND: While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not extended into adulthood or incorporated comprehensive risk measures. We aimed to identify symptom trajectories for externalizing and internalizing symptoms over a 25-year span and predict them using machine learning. METHODS: We used data from a longitudinal birth cohort study (N = 317, 171 females…
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Predicting psychopathology symptom trajectories using machine learning
BACKGROUND: While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not extended into adulthood or incorporated comprehensive risk measures. We aimed to identify symptom trajectories for externalizing and internalizing symptoms over a 25-year span and predict them using machine learning. METHODS: We used data from a longitudinal birth cohort study (N = 317, 171 females…
Cognition (1 work) · Cohort (1 work) · Digital Mental Health Interventions (1 work) · Logistic regression (1 work) · Longitudinal study (1 work) · Mental Health Research Topics (1 work) · Personality Disorders and Psychopathology (1 work) · Prospective cohort study (1 work) · Psychopathology (1 work) · Psychosocial (1 work)