NLM DIR Seminar Schedule
UPCOMING SEMINARS
RECENT SEMINARS
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May 2, 2025 Pascal Mutz
Characterization of covalently closed cirular RNAs detected in (meta)transcriptomic data -
May 2, 2025 Dr. Lang Wu
Integration of multi-omics data in epidemiologic research -
April 22, 2025 Stanley Liang, PhD
Large Vision Model for medical knowledge adaptation -
April 18, 2025 Valentina Boeva, Department of Computer Science, ETH Zurich
Decoding tumor heterogeneity: computational methods for scRNA-seq and spatial omics -
April 8, 2025 Jaya Srivastava
Leveraging a deep learning model to assess the impact of regulatory variants on traits and diseases
Scheduled Seminars on Dec. 5, 2023
Speaker
Gaetano Manzo
PI/Lab
Time
11 a.m.
Presentation Title
How do Clinicians Feel? A Trajectory Analysis of Clinical Notes using Large Language Models
Location
Virtual, see link below
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Clinical notes can provide insight into caregiver attitudes and how they impact patient care and satisfaction. However, detecting clinician attitudes from the language used in clinical notes is a challenging task, given the concise and standardized format of clinical notes and other contextual factors. In this study, we leverage multiple large language models to identify clinician attitudes from the linguistic features in clinical notes. This approach promises to provide a reliable means of improving patient care, clinician well-being, and communication by identifying specific clinicians' attitude trajectories from clinical notes.