ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2019
Automatic ICD Code Assignment based on ICD's Hierarchy Structure for Chinese Electronic Medical Records.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Validation of the hospital frailty risk score in China.European geriatric medicine · 2025Observational
- Artificial Intelligence in Evaluation of Permanent Impairment: New Operational Frontiers.Healthcare (Basel, Switzerland) · 2023Article
- Article
- Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study.Risk management and healthcare policy · 2023Article
- Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks.NPJ digital medicine · 2021Article
- Construction of a semi-automatic ICD-10 coding system.BMC medical informatics and decision making · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical records are text documents recording diagnoses, symptoms, examinations, etc. They are accompanied by ICD codes (International Classification of Diseases). ICD is the bedrock for health statistics, which maps human condition, injury, disease etc. to codes. It has enormous financial importance from public health investment to health insurance billing. However, assigning codes to medical records normally needs a lot of human labour and is error-prone due to its complexity. We present a 3-layer attentional convolutional network based on the hierarchy structure of ICD code that predicts ICD codes from medical records automatically. The method shows high performance, with Hit@1 of 0.6969, and Hit@5 of 0.8903, which is better than state-of-the-art method.
Identifiers
31258995PMC6568067What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.