Automated Extraction of Key Entities from Non-English Mammography Reports Using Named Entity Recognition with Prompt Engineering

Objective: Named entity recognition (NER) offers a powerful method for automatically extracting key clinical information from text, but current models often lack sufficient support for non-English languages. Materials and Methods: This study investigated a prompt-based NER approach using Google’s Ge...

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Bibliografske podrobnosti

Principais autores:	Zafer Akcali, Hazal Selvi Cubuk, Arzu Oguz, Murat Kocak, Aydan Farzaliyeva, Fatih Guven, Mehmet Nezir Ramazanoglu, Efe Hasdemir, Ozden Altundag, Ahmet Muhtesem Agildere
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-02-01
Serija:	Bioengineering
Teme:	mammography prompt engineering machine learning named entity recognition (NER) natural language processing (NLP) radiology reports
Online dostop:	https://www.mdpi.com/2306-5354/12/2/168
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