Cargando…
Automatic ICD-10 coding: Deep semantic matching based on analogical reasoning
BACKGROUND: ICD-10 has been widely used in statistical analysis of mortality rates and medical reimbursement. Automatic ICD-10 coding is desperately needed because manually assigning codes is expensive, time-consuming, and labor-intensive. Diagnoses described in medical records differ significantly...
Autores principales: | Chen, Yani, Chen, Han, Lu, Xudong, Duan, Huilong, He, Shilin, An, Jiye |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161690/ https://www.ncbi.nlm.nih.gov/pubmed/37151662 http://dx.doi.org/10.1016/j.heliyon.2023.e15570 |
Ejemplares similares
-
Automatic ICD-10 coding algorithm using an improved longest common subsequence based on semantic similarity
por: Chen, YunZhi, et al.
Publicado: (2017) -
Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble
por: Chen, Yani, et al.
Publicado: (2021) -
Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning
por: Chen, Pei-Fu, et al.
Publicado: (2021) -
Construction of a semi-automatic ICD-10 coding system
por: Zhou, Lingling, et al.
Publicado: (2020) -
An openEHR based approach to improve the semantic interoperability of clinical data registry
por: Min, Lingtong, et al.
Publicado: (2018)