Profiel

D.P. (Derek) de Beurs, PhD

Functie
Programmahoofd
Programma
Epidemiologie
Secretariaat
+31 (0)30 - 2971(101)
E-mail
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Derek de Beurs

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Blogs

Gijzen, M. W. M., Rasing, S. P. A., Creemers, D. H. M., Smit, F., Engels, R. C. M. E., & Beurs, D. de (2021). Suicide ideation as a symptom of adolescent depression. a network analysis. Journal of Affective Disorders, 278, 68-77. doi:10.1016/j.jad.2020.09.029

Beurs, D. de, Bockting, C., Kerkhof, A., Scheepers, F., O'Connor, R. C. , Penninx, B. & Leemput, I. van de (2020). A network perspective on suicidal behavior: understanding suicidality as a complex system. Suicide and Life-Threatening Behavior, 00, 1-12. doi:10.1111/sltb.12676

Gijzen, M., Shields-Zeeman, L., Kleinjan, M., Kroon, H., Roest, H. van der, Bolier, L., Smit, F., & Beurs, D. de (2020). The Bittersweet Effects of COVID-19 on Mental Health: Results of an Online Survey among a Sample of the Dutch Population Five Weeks after Relaxation of Lockdown Restrictions. International Journal of Environmental Research and Public Health, 17(23), 9073. doi:10.3390/ijerph17239073

Mens K. van, Elzinga, E., Nielen, M., Lokkerbol, J., Poortvliet, R., Donker, G., . . . Beurs, D. de (2020). Applying machine learning on health record data from general practitioners to predict suicidality. Internet Interventions, 21, 100337. doi:10.1016/j.invent.2020.100337

Mens, K. van, Schepper, C. W. M. de, Wijnen, B., Koldijk, S. J., Schnack, H., de Looff, P., Lokkerbol, J., . . . Beurs, D. de (2020). Predicting future suicidal behaviour in young adults, with different machine learning techniques: a population-based longitudinal study. Journal of Affective Disorders, 271, 169-177. doi:10.1016/j.jad.2020.03.081