This research presents an automated approach to generate valid ICD-11 cluster codes from medical text. Natural language records are represented as vectors and compared to an ICD-11 corpus using cosine similarity. A bidirectional matching technique then refines similarity estimation.
Jan 4, 2024 · This research presents an automated approach to generate valid ICD-11 cluster codes from medical text.
This research presents an automated approach to generate valid ICD-11 cluster codes from medical text.
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Jan 4, 2024 · This research presents an automated approach to generate valid ICD-11 cluster codes from medical text. Natural language records are represented ...
Return to Article Details Automated Generation of ICD-11 Cluster Codes for Precision Medical Record Classification Download Download PDF. Thumbnails Document ...
Mar 1, 2023 · This review focuses on automated ICD code assignment using discharge summaries. We consider 42 studies published between January 2010 and December 2021.
Apr 22, 2024 · Automated generation of ICD-11 cluster codes for precision medical record classification. Int J Comput Commun. (2024) 19:6251. 10.15837 ...
Field-testing involves real-world application of the new codes to examine usability. We describe creating a dataset and characterizing the usability of ICD-11 ...
Automated Generation of ICD-11 Cluster Codes for Precision Medical Record Classification. Article. Full-text available. Jan 2024. Jiayi Feng ...
Mar 15, 2024 · In our paper, we examine the opportunities in few-shot ICD coding and propose a new solution, the evidence-representation-based meta-network (EPEN).