Exploiting ICD Hierarchy for Classification of EHRs in Spanish through multi-task Transformers
A Blanco, A Pérez, A Casillas - IEEE journal of biomedical and …, 2021 - ieeexplore.ieee.org
Electronic Health Records (EHRs) convey valuable information. Experts in clinical
documentation read the report, understand the prior work, procedures, tests carried out, and …
documentation read the report, understand the prior work, procedures, tests carried out, and …
Extreme multi-label ICD classification: sensitivity to hospital service and time
A Blanco, A Perez, A Casillas - IEEE Access, 2020 - ieeexplore.ieee.org
This work deals with clinical text mining for automatic classification of Electronic Health
Records (EHRs) with respect to the International Classification of Diseases (ICD). ICD is the …
Records (EHRs) with respect to the International Classification of Diseases (ICD). ICD is the …
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 …
Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity
A Blanco, O Perez-de-Vinaspre, A Pérez… - Computer methods and …, 2020 - Elsevier
Background and objective: This work deals with clinical text mining, a field of Natural
Language Processing applied to biomedical informatics. The aim is to classify Electronic …
Language Processing applied to biomedical informatics. The aim is to classify Electronic …
Domain-specific language models for multi-label classification of medical text
V Yogarajan - 2022 - researchcommons.waikato.ac.nz
Recent advancements in machine learning-based medical text multi-label classifications
can be used to enhance the understanding of the human body and aid the need for patient …
can be used to enhance the understanding of the human body and aid the need for patient …
Divide and conquer: An extreme multi-label classification approach for coding diseases and procedures in Spanish
Clinical coding is the task of transforming medical documents into structured codes following
a standard ontology. Since these terminologies are composed of hundreds of codes, this …
a standard ontology. Since these terminologies are composed of hundreds of codes, this …
Explainable ICD multi-label classification of EHRs in Spanish with convolutional attention
Background This work deals with Natural Language Processing applied to Electronic Health
Records (EHRs). EHRs are coded following the International Classification of Diseases …
Records (EHRs). EHRs are coded following the International Classification of Diseases …
Transformers for clinical coding in Spanish
G López-García, JM Jerez, N Ribelles, E Alba… - IEEE …, 2021 - ieeexplore.ieee.org
Automatic clinical coding is an essential task in the process of extracting relevant information
from unstructured documents contained in electronic health records (EHRs). However, most …
from unstructured documents contained in electronic health records (EHRs). However, most …
Multilabel classification of medical concepts for patient clinical profile identification
C Gérardin, P Wajsbürt, P Vaillant, A Bellamine… - Artificial Intelligence in …, 2022 - Elsevier
Background The development of electronic health records has provided a large volume of
unstructured biomedical information. Extracting patient characteristics from these data has …
unstructured biomedical information. Extracting patient characteristics from these data has …
[HTML][HTML] Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish
A Blanco, S Remmer, A Perez, H Dalianis… - Journal of Biomedical …, 2022 - Elsevier
Multi-label classification according to the International Classification of Diseases (ICD) is an
Extreme Multi-label Classification task aiming to categorise health records according to a set …
Extreme Multi-label Classification task aiming to categorise health records according to a set …