Rules-based natural language processing to extract features of large vessel occlusion and cerebral edema from radiology reports in stroke patients-Reference-Cited by-同舟云学术

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Rules-based natural language processing to extract features of large vessel occlusion and cerebral edema from radiology reports in stroke patients

Published:2023-06 Issue:2 Volume:3 Page:100129
ISSN:2772-5286
Container-title:Neuroscience Informatics
language:en
Short-container-title:Neuroscience Informatics

Author:

Siddiqui Zohair^ORCID,Bhatia Kunal^ORCID,Corbin Aaron^ORCID,Dhar Rajat^ORCID

Publisher

Elsevier BV

Reference20 articles.

1. Epidemiology, natural history, and clinical presentation of large vessel ischemic stroke;Rennert;Neurosurgery,2019

2. Ischemic strokes due to large-vessel occlusions contribute disproportionately to stroke-related dependence and death: a review;Malhotra;Front. Neurol.,2017

3. Current status of mechanical thrombectomy for acute stroke treatment;Pereira;J. Neuroradiol.,2015

4. Global epidemiology of stroke and access to acute ischemic stroke interventions;Saini;Neurology,2021

5. Mechanical thrombectomy: answering unanswered;Parthasarathy;Ann. Indian Acad. Neurol.,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data Extraction from Free-Text Reports on Mechanical Thrombectomy in Acute Ischemic Stroke Using ChatGPT: A Retrospective Analysis;Radiology;2024-04-01

2. NLP in SMEs for industry 4.0: opportunities and challenges;Procedia Computer Science;2024

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