Pepijn van de Ven
Co-investigator (UK)
University of Limerick
Pepijn is a Professor in Machine Learning for Mental Health in the department of Electronic and Computer Engineering at the University of Limerick (UL) and Course Director for UL’s National Online MSc in Artificial Intelligence.
Pepijn’s research interests are the application of artificial intelligence and machine learning to the detection and treatment of mental health.
In the COLMA project, Pepijn is a co-investigator and leads the use of artificial intelligence and machine learning for the generation of data-driven insights and automations.
Recent publications:
- Kelly A, Noctor E, Ryan L, van de Ven P
The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study. J Med Internet Res 2025;27:e70131. doi: 10.2196/70131 PMID: 40324160 PMCID: 12089868 - Maekawa, E, Mendes de Sá Martins, M, Akemi Nakamura, C, Araya, R, Peters, T.J, Van de Ven, P, and Scazufca, M. 2024. “Understanding Risk Factors of Recurrent Anxiety Symptomatology in an Older Population with Mild to Severe Depressive Symptoms: A Bayesian Approach” Applied Sciences 14, no. 16: 7258. https://doi.org/10.3390/app14167258
- Glavin D, Grua EM, Nakamura CA, Scazufca M, Ribeiro dos Santos E, Wong GHY, Hollingworth W, Peters TJ, Araya R, Van de Ven P. Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis. JMIR Ment Health 2023;10:e48444. doi: 10.2196/48444 PMID: 37856186 PMCID: 10623235
ORCID:
Pepijn is a Professor in Machine Learning for Mental Health in the department of Electronic and Computer Engineering at the University of Limerick (UL) and Course Director for UL’s National Online MSc in Artificial Intelligence.
Pepijn’s research interests are the application of artificial intelligence and machine learning to the detection and treatment of mental health.
In the COLMA project, Pepijn is a co-investigator and leads the use of artificial intelligence and machine learning for the generation of data-driven insights and automations.
Recent publications:
- Kelly A, Noctor E, Ryan L, van de Ven P
The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study. J Med Internet Res 2025;27:e70131. doi: 10.2196/70131 PMID: 40324160 PMCID: 12089868 - Maekawa, E, Mendes de Sá Martins, M, Akemi Nakamura, C, Araya, R, Peters, T.J, Van de Ven, P, and Scazufca, M. 2024. “Understanding Risk Factors of Recurrent Anxiety Symptomatology in an Older Population with Mild to Severe Depressive Symptoms: A Bayesian Approach” Applied Sciences 14, no. 16: 7258. https://doi.org/10.3390/app14167258
- Glavin D, Grua EM, Nakamura CA, Scazufca M, Ribeiro dos Santos E, Wong GHY, Hollingworth W, Peters TJ, Araya R, Van de Ven P. Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis. JMIR Ment Health 2023;10:e48444. doi: 10.2196/48444 PMID: 37856186 PMCID: 10623235
ORCID:
