A natural language processing model for supporting sustainable development goals: translating semantics, visualizing nexus, and connecting stakeholders
Sharing successful practices with other stakeholders is important for achieving SDGs. In this
study, with a deep-learning natural language processing model, bidirectional encoder …
study, with a deep-learning natural language processing model, bidirectional encoder …
Towards unified scene text spotting based on sequence generation
Sequence generation models have recently made significant progress in unifying various
vision tasks. Although some auto-regressive models have demonstrated promising results in …
vision tasks. Although some auto-regressive models have demonstrated promising results in …
[HTML][HTML] Automatic ICD-10 coding and training system: deep neural network based on supervised learning
PF Chen, SM Wang, WC Liao, LC Kuo… - JMIR Medical …, 2021 - medinform.jmir.org
Background: The International Classification of Diseases (ICD) code is widely used as the
reference in medical system and billing purposes. However, classifying diseases into ICD …
reference in medical system and billing purposes. However, classifying diseases into ICD …
A comparison of deep learning methods for ICD coding of clinical records
In this survey, we discuss the task of automatically classifying medical documents into the
taxonomy of the International Classification of Diseases (ICD), by the use of deep neural …
taxonomy of the International Classification of Diseases (ICD), by the use of deep neural …
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 …
Automatic medical protocol classification using machine learning approaches
P López-Úbeda, MC Díaz-Galiano… - Computer Methods and …, 2021 - Elsevier
Background and objective: Assignment of medical imaging procedure protocols requires
extensive knowledge about patient's data, usually included in radiological request forms and …
extensive knowledge about patient's data, usually included in radiological request forms and …
Multi-label diagnosis classification of Swedish discharge summaries–ICD-10 code assignment using KB-BERT
S Remmer, A Lamproudis… - Proceedings of the …, 2021 - aclanthology.org
Abstract The International Classification of Diseases (ICD) is a system for systematically
recording patients' diagnoses. Clinicians or professional coders assign ICD codes to …
recording patients' diagnoses. Clinicians or professional coders assign ICD codes to …
[HTML][HTML] Neural translation and automated recognition of ICD-10 medical entities from natural language: Model development and performance assessment
L Falissard, C Morgand, W Ghosn… - JMIR medical …, 2022 - medinform.jmir.org
Background: The recognition of medical entities from natural language is a ubiquitous
problem in the medical field, with applications ranging from medical coding to the analysis of …
problem in the medical field, with applications ranging from medical coding to the analysis of …
Leveraging Language Models for Inpatient Diagnosis Coding
K Suvirat, D Tanasanchonnakul, S Chairat… - Applied Sciences, 2023 - mdpi.com
Medical coding plays an essential role in medical billing, health resource planning, clinical
research and quality assessment. Automated coding systems offer promising solutions to …
research and quality assessment. Automated coding systems offer promising solutions to …
Transformers for multi-label classification of medical text: an empirical comparison
Recent advancements in machine learning-based multi-label medical text classification
techniques have been used to help enhance healthcare and aid better patient care. This …
techniques have been used to help enhance healthcare and aid better patient care. This …