Results: We included in the review 94 studies with 30 studies published in the last three years. Machine learning methods were used in 68 studies, rule-based in ...
In this work, we aim to review NLP methods that extract clinical entities and/or their relations from unstructured clinical text and appraise their ...
Jun 5, 2023 · In this work, we aim to review NLP methods that extract clinical entities and/or their relations from unstructured clinical text and appraise ...
Jun 5, 2023 · In this work, we aim to review NLP methods that extract clinical entities and/or their relations from unstructured clinical text and appraise ...
Oct 22, 2024 · The current study harnesses named entity recognition (NER), an NLP technique that identifies and categorizes textual information; biomedical NER ...
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Jun 4, 2024 · Although named entity recognition (NER) is used to extract data from physicians' records, it has yet to be widely applied to pharmaceutical care ...
Sep 13, 2023 · [new paper] Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic ...
This paper presents an approach to automatically extract information from these unstructured medical records using Domain Entity Recognition and Relation ...
Jan 26, 2023 · The named entity recognition implementation in the NLP layer achieves a performance gain of about 1–3% compared to benchmark methods.
Named entity recognition (NER) methods address the challenge of extracting pertinent information from unstructured text. The aim of this study was to outline ...