Pepijn Van de Ven
Biographic Data
| ID | 7747865 |
|---|---|
| NAME | Pepijn Van de Ven |
| GIVEN NAMES | Pepijn |
| FAMILY NAME | Van de Ven |
| SIGNATURE | VAN DE VEN P |
| AFFILIATIONS | University of Limerick |
| ORCID | 0000-0003-3321-450X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions
In 90.1% of cases, the hybrid model ranked the actual disorder treated as either the highest (67.3%) or second-highest (22.8%) on the test data. This emphasizes that instead of suggesting a single disorder to be treated, the model can offer the probabilities for multiple disorders. This allows individuals seeking treatment or their therapists to incorporate this information as an additional data-driven factor when collectively deciding on which t…
Acceptability and fidelity of a psychosocial intervention (PROACTIVE) for older adults with depression in a basic health unit in São Paulo, Brazil
The pilot study of which the present study gives support to was registered at the Brazilian Clinical Trials, UTN code: U1111-1218-6717 on 26/09/2018
Pilot study of a two-arm non-randomized controlled cluster trial of a psychosocial intervention to improve late life depression in socioeconomically deprived areas of São Paulo, Brazil (PROACTIVE)
This study was retrospectively registered with Registro Brasileiro de Ensaios Clínicos (ReBEC), number RBR-5nf6wd . Registered 06 August 2018
No prominent works on this page.
Pilot study of a two-arm non-randomized controlled cluster trial of a psychosocial intervention to improve late life depression in socioeconomically deprived areas of São Paulo, Brazil (PROACTIVE)
This study was retrospectively registered with Registro Brasileiro de Ensaios Clínicos (ReBEC), number RBR-5nf6wd . Registered 06 August 2018
Acceptability and fidelity of a psychosocial intervention (PROACTIVE) for older adults with depression in a basic health unit in São Paulo, Brazil
The pilot study of which the present study gives support to was registered at the Brazilian Clinical Trials, UTN code: U1111-1218-6717 on 26/09/2018
Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions
In 90.1% of cases, the hybrid model ranked the actual disorder treated as either the highest (67.3%) or second-highest (22.8%) on the test data. This emphasizes that instead of suggesting a single disorder to be treated, the model can offer the probabilities for multiple disorders. This allows individuals seeking treatment or their therapists to incorporate this information as an additional data-driven factor when collectively deciding on which t…
Medicine (3 works) · Intervention (counseling (2 works) · Mental Health Treatment and Access (2 works) · Nursing (2 works) · Psychiatry (2 works) · Psychosocial (2 works) · Public health (2 works) · Advanced Causal Inference Techniques (1 work) · Alternative medicine (1 work) · Anxiety (1 work)