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Concept Recognition and Characterization of Patients Undergoing Resection of Vestibular Schwannoma Using Natural Language Processing
7
Zitationen
14
Autoren
2024
Jahr
Abstract
Our NLP model effectively extracted concepts from VS patients' EHRs, facilitating personalized concept panels with diverse applications. NLP shows promise in surgical settings, aiding in early diagnosis, complication prediction, and patient care. Further validation of NLP's predictive capabilities is warranted.
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Autoren
Institutionen
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences(GB)
- National Hospital for Neurology and Neurosurgery(GB)
- University College London(GB)
- UCL Biomedical Research Centre(GB)
- King's College London(GB)
- South London and Maudsley NHS Foundation Trust(GB)
- University of Ulster(GB)
- Royal London Hospital(GB)
- Royal Victoria Hospital(GB)
- Eastman Dental Hospital(GB)