A review on deep neural networks for ICD coding

F Teng, Y Liu, T Li, Y Zhang, S Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The International Classification of Diseases (ICD) is a standard for categorizing physical
conditions, which has been widely used for analyzing clinical data and monitoring health …

Knowledge-graph-enabled biomedical entity linking: a survey

J Shi, Z Yuan, W Guo, C Ma, J Chen, M Zhang - World Wide Web, 2023 - Springer
Abstract Biomedical Entity Linking (BM-EL) task, which aims to match biomedical mentions
in articles to entities in a certain knowledge base (eg, the Unified Medical Language …

[HTML][HTML] Medical concept normalization in social media posts with recurrent neural networks

E Tutubalina, Z Miftahutdinov, S Nikolenko… - Journal of biomedical …, 2018 - Elsevier
Text mining of scientific libraries and social media has already proven itself as a reliable tool
for drug repurposing and hypothesis generation. The task of mapping a disease mention to …

[PDF][PDF] MLT-DFKI at CLEF eHealth 2019: Multi-label Classification of ICD-10 Codes with BERT.

S Amin, G Neumann, K Dunfield, A Vechkaeva… - CLEF (Working …, 2019 - ceur-ws.org
With the adoption of electronic health record (EHR) systems, hospitals and clinical institutes
have access to large amounts of heterogeneous patient data. Such data consists of …

[PDF][PDF] CLEF eHealth 2017 Multilingual Information Extraction task Overview: ICD10 Coding of Death Certificates in English and French.

A Névéol, A Robert, R Anderson, KB Cohen… - CLEF (Working …, 2017 - ceur-ws.org
This paper reports on Task 1 of the 2017 CLEF eHealth evaluation lab which extended the
previous information extraction tasks of ShARe/CLEF eHealth evaluation labs. The task …

Interpretable deep learning to map diagnostic texts to ICD-10 codes

A Atutxa, AD de Ilarraza, K Gojenola, M Oronoz… - International journal of …, 2019 - Elsevier
Background Automatic extraction of morbid disease or conditions contained in Death
Certificates is a critical process, useful for billing, epidemiological studies and comparison …

ICD-10 coding of Spanish electronic discharge summaries: An extreme classification problem

M Almagro, RM Unanue, V Fresno, S Montalvo - IEEE Access, 2020 - ieeexplore.ieee.org
Objective: Medical coding is used to identify and standardize clinical concepts in the records
collected from healthcare services. The tenth revision of the International Classification of …

Multi-label clinical document classification: Impact of label-density

A Blanco, A Casillas, A Pérez, AD de Ilarraza - Expert Systems with …, 2019 - Elsevier
Objective The goal of this work is the classification of Electronic Health Records using
Natural Language Techniques. Electronic Health Records (EHRs) convey valuable clinical …

Automated icd coding based on neural machine translation

C Mou, X Ye, J Wu, W Dai - … on Cloud Computing and Big Data …, 2023 - ieeexplore.ieee.org
With the rapid development of the medical field, the electronic medical record (EMR) is a rich
source of clinical information for medical study. However, electronic medical records are full …

Exploring convolutional neural networks and topic models for user profiling from drug reviews

E Tutubalina, S Nikolenko - Multimedia Tools and Applications, 2018 - Springer
Pharmacovigilance, and generally applications of natural language processing models to
healthcare, have attracted growing attention over the recent years. In particular, drug …