3 papers
cs.CL2026
Probabilistic Textual Time Series Depression Detection
Fabian Schmidt, Seyedehmoniba Ravan, Vladimir Vlassov
Accurate and interpretable predictions of depression severity are essential for clinical decision support, yet existing models often lack uncertainty estimates and temporal interpr…
cs.AI2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews
Sofia Krylova, Fabian Schmidt, Vladimir Vlassov
Many existing digital triage systems are questionnaire-based, guiding patients to appropriate care levels based on information (e.g., symptoms, medical history, and urgency) provid…
cs.CL2025
CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills
Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren +1
Common factors and microcounseling skills are critical to the effectiveness of psychotherapy. Understanding and measuring these elements provides valuable insights into therapeutic…