A survey of automated International Classification of Diseases coding: development, challenges, and applications
The International Classification of Diseases (ICD) is an international standard and tool for
epidemiological investigation, health management, and clinical diagnosis with a …
epidemiological investigation, health management, and clinical diagnosis with a …
An open source corpus and automatic tool for section identification in Spanish health records
I de la Iglesia, M Vivó, P Chocrón, G de Maeztu… - Journal of Biomedical …, 2023 - Elsevier
Abstract Background: Electronic Clinical Narratives (ECNs) store valuable individual's health
information. However, there are few available open-source data. Besides, ECNs can be …
information. However, there are few available open-source data. Besides, ECNs can be …
[HTML][HTML] Cares: a corpus for classification of Spanish radiological reports
M Chizhikova, P López-Úbeda… - Computers in Biology …, 2023 - Elsevier
This paper presents a new corpus of radiology medical reports written in Spanish and
labeled with ICD-10. CARES (Corpus of Anonymised Radiological Evidences in Spanish) is …
labeled with ICD-10. CARES (Corpus of Anonymised Radiological Evidences in Spanish) is …
[HTML][HTML] A section identification tool: towards hl7 cda/ccr standardization in spanish discharge summaries
Background. Nowadays, with the digitalization of healthcare systems, huge amounts of
clinical narratives are available. However, despite the wealth of information contained in …
clinical narratives are available. However, despite the wealth of information contained in …
[PDF][PDF] LSI_UNED at ClinAIS 2023: Transformer Models for Section Identification in Spanish Medical Reports.
This paper presents our participation in the ClinAIS task of the IberLEF 2023 shared
evaluation campaign, devoted to the automatic section identification in medical reports …
evaluation campaign, devoted to the automatic section identification in medical reports …
A study into patient similarity through representation learning from medical records
Patient similarity assessment, which identifies patients similar to a given patient, is a
fundamental component of many secondary uses of medical data. The assessment can be …
fundamental component of many secondary uses of medical data. The assessment can be …
Automatic Recommendation of Forum Threads and Reinforcement Activities in a Data Structure and Programming Course
Online learning is quickly becoming a popular choice instead of traditional education. One of
its key advantages lies in the flexibility it offers, allowing individuals to tailor their learning …
its key advantages lies in the flexibility it offers, allowing individuals to tailor their learning …
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction
Keyphrase extraction is a widely discussed topic in Natural Language Processing, as it
offers a concise summary of the main topics in a document. Interpretability is also an …
offers a concise summary of the main topics in a document. Interpretability is also an …
Assessing mortality prediction through different representation models based on concepts extracted from clinical notes
H Memarzadeh, N Ghadiri, ML Shahreza - arXiv preprint arXiv:2207.10872, 2022 - arxiv.org
Recent years have seen particular interest in using electronic medical records (EMRs) for
secondary purposes to enhance the quality and safety of healthcare delivery. EMRs tend to …
secondary purposes to enhance the quality and safety of healthcare delivery. EMRs tend to …
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
J Wu, D Wu, J Sun - arXiv preprint arXiv:2409.10504, 2024 - arxiv.org
Predicting high-dimensional or extreme multilabels, such as in medical coding, requires
both accuracy and interpretability. Existing works often rely on local interpretability methods …
both accuracy and interpretability. Existing works often rely on local interpretability methods …