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Making Sense of Clinical Text: NLP for Risk Detection, Patient Privacy, and Better Communication

Event Details
Date: 24.04.2025, 16:00 o'clock - 17:30 o'clock 
Location: Geb?ude N, Raum 2045, Universit?tsstra?e 6a, 86159 Augsburg
Organizer(s): Prof. Frank Kramer
Topics: Studium, Informatik, Gesundheit und 伟德国际_伟德国际1946$娱乐app游戏izin
Series of events: 伟德国际_伟德国际1946$娱乐app游戏ical Information Sciences
Event Type: Vortragsreihe
Speaker(s): Dr. Lisa Raithel
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In diesem Wintersemester wird die im WiSe 2022/23 erfolgreich gestartete Vortragsreihe 伟德国际_伟德国际1946$娱乐app游戏ical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Donnerstag ab 16:00 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes 伟德国际_伟德国际1946$娱乐app游戏ical 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 medica
l 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.

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