37 citations · 89 across the 4 of their papers we have counts for
4 papers
Bias Discovery in Machine Learning Models for Mental Health
Pablo Mosteiro, Jesse Kuiper, Judith Masthoff +2
Fairness and bias are crucial concepts in artificial intelligence, yet they are relatively ignored in machine learning applications in clinical psychiatry. We computed fairness met…
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting
Thomas Borger, Pablo Mosteiro, Heysem Kaya +4
Inpatient violence is a common and severe problem within psychiatry. Knowing who might become violent can influence staffing levels and mitigate severity. Predictive machine learni…
Making sense of violence risk predictions using clinical notes
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou +3
Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health r…
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou +3
Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health r…