In diesem Wintersemester wird die im WiSe 2022/23 erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Donnerstag ab 16:00 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.

Natural Language Processing (NLP) plays a crucial role in analyzing medical text for risk detection and improving patient-doctor communication. However, working with sensitive clinical data presents significant challenges, particularly in anonymization and patient privacy protection.

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This talk will focus on privacy-preserving NLP, specifically anonymization techniques that go beyond direct identifiers to address risks from implicit information. I will discuss methods and challenges of de-identifying medical text while preserving its utility for downstream tasks such as risk prediction and clinical decision support. Beyond privacy, I will address how NLP can be leveraged for early risk detection: From multilingual adverse drug reaction detection to mental health risk assessment on social media and relapse prediction in psychotherapeutic settings.