Dec 5, 2018 · The proposed approach achieved 54.1% sensitivity and 70.2% positive predictive value.
The results show the potential for advanced NLP-based approaches that leverage SNOMED CT to ICD-10 mapping for hospital in-patient coding. Introduction.
The results show the potential for advanced NLP-based approaches that leverage SNOMED CT to ICD-10 mapping for hospital in-patient coding on a broad ...
The results show the potential for advanced NLP-based approaches that leverage SNOMED CT to ICD-10 mapping for hospital in-patient coding. ResearchGate Logo.
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Mar 12, 2024 · Computer-assisted diagnostic coding: effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. AMIA Annu Symp Proc. 2018 ...
This study aims at developing a machine learning (ML) model for primary diagnosis ICD coding and validating its potential in clinical coding assistance.
Nov 16, 2020 · The objective of this study was to review the current methods used for developing and evaluating NLP algorithms that map clinical text fragments onto ontology ...
Nov 30, 2019 · The results show the potential for advanced NLP-based approaches that leverage SNOMED CT to ICD-10 mapping for hospital in-patient coding.
Computer-assisted diagnostic coding: effectiveness of an nlp-based approach using snomed ct to icd-10 mappings, in: AMIA Annual Symposium Proceedings ...
Apr 18, 2023 · Computer-assisted diagnostic coding: effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. AMIA Annu Symp Proc 2018 ...