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Identifying Abdominal Aortic Aneurysm Cases and Controls using Natural Language Processing of Radiology Reports.
Sohn S, Ye Z, Liu H, Chute CG, Kullo IJ. Sohn S, et al. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:249-53. eCollection 2013. AMIA Jt Summits Transl Sci Proc. 2013. PMID: 24303276 Free PMC article.
Prevalence of abdominal aortic aneurysm (AAA) is increasing due to longer life expectancy and implementation of screening programs. Patient-specific longitudinal measurements of AAA are important to understand pathophysiology of disease development and modifi …
Prevalence of abdominal aortic aneurysm (AAA) is increasing due to longer life expectancy and implementation of screeni …
Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study.
Gaviria-Valencia S, Murphy SP, Kaggal VC, McBane Ii RD, Rooke TW, Chaudhry R, Alzate-Aguirre M, Arruda-Olson AM. Gaviria-Valencia S, et al. JMIR Med Inform. 2023 Feb 24;11:e40964. doi: 10.2196/40964. JMIR Med Inform. 2023. PMID: 36826984 Free PMC article.
Natural language processing (NLP) has been previously developed to retrospectively identify patients with AAA from electronic health records (EHRs). However, there are no reported studies that use NLP to identify patients with AAA in near
Natural language processing (NLP) has been previously developed to retrospectively identify patients with AAA fr