A review on deep neural networks for ICD coding
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 …
conditions, which has been widely used for analyzing clinical data and monitoring health …
Knowledge-graph-enabled biomedical entity linking: a survey
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 …
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
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 …
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.
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 …
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.
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 …
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 …
Certificates is a critical process, useful for billing, epidemiological studies and comparison …
ICD-10 coding of Spanish electronic discharge summaries: An extreme classification problem
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 …
collected from healthcare services. The tenth revision of the International Classification of …
Multi-label clinical document classification: Impact of label-density
Objective The goal of this work is the classification of Electronic Health Records using
Natural Language Techniques. Electronic Health Records (EHRs) convey valuable clinical …
Natural Language Techniques. Electronic Health Records (EHRs) convey valuable clinical …
Automated icd coding based on neural machine translation
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 …
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 …
healthcare, have attracted growing attention over the recent years. In particular, drug …