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Leveraging Guideline-Based Clinical Decision Support Systems with Large Language Models: A Case Study with Breast Cancer
1
Zitationen
4
Autoren
2024
Jahr
Abstract
All the criteria in the OncoDoc2 decision tree are crucial for capturing the uniqueness of each patient. Any deviation from a criterion alters the recommendations generated. Despite achieving a good accuracy rate of 75.57%, LLMs still face challenges in reliably understanding complex medical contexts and be effective as CDSSs.
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Autoren
Institutionen
- Inserm(FR)
- Université Sorbonne Nouvelle(FR)
- Sorbonne Université(FR)
- Université Sorbonne Paris Nord(FR)
- École Pour l'Informatique et les Techniques Avancées(FR)
- Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
- Aix-Marseille Université(FR)
- Université Gustave Eiffel(FR)
- Assistance Publique – Hôpitaux de Paris(FR)
- Agence Parisienne du Climat(FR)
- Hôpital Tenon(FR)