[HTML][HTML] Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review
Background In recent years, health data collected during the clinical care process have
been often repurposed for secondary use through clinical data warehouses (CDWs), which …
been often repurposed for secondary use through clinical data warehouses (CDWs), which …
Exploring the latest highlights in medical natural language processing across multiple languages: A survey
Objectives: This survey aims to provide an overview of the current state of biomedical and
clinical Natural Language Processing (NLP) research and practice in Languages other than …
clinical Natural Language Processing (NLP) research and practice in Languages other than …
[HTML][HTML] BERT-based natural language processing analysis of French CT reports: Application to the measurement of the positivity rate for pulmonary embolism
É Jupin-Delevaux, A Djahnine, F Talbot… - Research in Diagnostic …, 2023 - Elsevier
Rationale and objectives To develop a Natural Language Processing (NLP) method based
on Bidirectional Encoder Representations from Transformers (BERT) adapted to French CT …
on Bidirectional Encoder Representations from Transformers (BERT) adapted to French CT …
Transfer learning for the prediction of entity modifiers in clinical text: Application to opioid use disorder case detection
Background: The semantics of entities extracted from a clinical text can be dramatically
altered by modifiers, including entity negation, uncertainty, conditionality, severity, and …
altered by modifiers, including entity negation, uncertainty, conditionality, severity, and …
Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection
Background The semantics of entities extracted from a clinical text can be dramatically
altered by modifiers, including entity negation, uncertainty, conditionality, severity, and …
altered by modifiers, including entity negation, uncertainty, conditionality, severity, and …
Ontology-Based Semantic Annotation of French Psychiatric Clinical Documents
Building a timeline of psychiatric patient profiles can answer many valuable questions, such
as how important medical events affect the progression of psychosis in patients. However …
as how important medical events affect the progression of psychosis in patients. However …
Uncertainty detection in historical databases
Historians analyze information from diverse and heterogeneous sources to verify
hypotheses and/or to propose new ones. Central to any historical project is the concept of …
hypotheses and/or to propose new ones. Central to any historical project is the concept of …
Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries
Most clinical texts including breast cancer patient summaries (BCPSs) are elaborated as
narrative documents difficult to process by decision support systems. Annotators have been …
narrative documents difficult to process by decision support systems. Annotators have been …
Entity Information Extraction And Normalization From Scientific And Clinical Texts
AI Almudaifer - 2024 - digitalcommons.library.uab.edu
In the analysis of scientific and clinical texts, the extraction of named entities and their
relevant information, such as modifiers, play a pivotal role. Recent advancements in natural …
relevant information, such as modifiers, play a pivotal role. Recent advancements in natural …
Contribution à la valorisation des données textuelles libres dans le secteur de la santé
A Nguyen - 2022 - hal.science
Récemment, les systèmes de santé ont été confrontés à de nombreux défis (gestion
d'épidémie, demande volatile, condensation des temps de prise en charge, etc.) …
d'épidémie, demande volatile, condensation des temps de prise en charge, etc.) …