Learning to extract adverse drug reaction events from electronic health records in Spanish
A Casillas, A Pérez, M Oronoz, K Gojenola… - Expert Systems with …, 2016 - Elsevier
Objective: To tackle the extraction of adverse drug reaction events in electronic health
records. The challenge stands in inferring a robust prediction model from highly unbalanced …
records. The challenge stands in inferring a robust prediction model from highly unbalanced …
The impact of de-identification on downstream named entity recognition in clinical text
The impact of de-identification on data quality and, in particular, utility for developing models
for downstream tasks has been more thoroughly studied for structured data than for …
for downstream tasks has been more thoroughly studied for structured data than for …
[HTML][HTML] Ensembles of randomized trees using diverse distributed representations of clinical events
Background Learning deep representations of clinical events based on their distributions in
electronic health records has been shown to allow for subsequent training of higher …
electronic health records has been shown to allow for subsequent training of higher …
[HTML][HTML] Drug-related causes attributed to acute kidney injury and their documentation in intensive care patients
Purpose To investigate drug-related causes attributed to acute kidney injury (DAKI) and their
documentation in patients admitted to the Intensive Care Unit (ICU). Methods This study was …
documentation in patients admitted to the Intensive Care Unit (ICU). Methods This study was …
[HTML][HTML] Named entity recognition in electronic health records: A methodological review
MC Durango, EA Torres-Silva… - Healthcare Informatics …, 2023 - ncbi.nlm.nih.gov
Objectives A substantial portion of the data contained in Electronic Health Records (EHR) is
unstructured, often appearing as free text. This format restricts its potential utility in clinical …
unstructured, often appearing as free text. This format restricts its potential utility in clinical …
[HTML][HTML] Artificial intelligence research and its contributions to the European Union's political governance: comparative study between member states
In the last six decades, many advances have been made in the field of artificial intelligence
(AI). Bearing in mind that AI technologies are influencing societies and political systems …
(AI). Bearing in mind that AI technologies are influencing societies and political systems …
An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep …
Objective We aim to evaluate the effectiveness of advanced deep learning models (eg,
capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain …
capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain …
An NLP-inspired data augmentation method for adverse event prediction using an imbalanced healthcare dataset
T Ishikawa, T Yakoh, H Urushihara - IEEE Access, 2022 - ieeexplore.ieee.org
This paper proposes a data augmentation method for imbalanced healthcare datasets. This
method was inspired by a data augmentation method in natural language processing (NLP) …
method was inspired by a data augmentation method in natural language processing (NLP) …
Conditional random fields for clinical named entity recognition: a comparative study using Korean clinical texts
Background This study demonstrates clinical named entity recognition (NER) methods on
the clinical texts of rheumatism patients in South Korea. Despite the recent increase in the …
the clinical texts of rheumatism patients in South Korea. Despite the recent increase in the …
[HTML][HTML] Identification of adverse drug event–related Japanese articles: natural language processing analysis
Background: Medical articles covering adverse drug events (ADEs) are systematically
reported by pharmaceutical companies for drug safety information purposes. Although …
reported by pharmaceutical companies for drug safety information purposes. Although …