Comprehend medical: a named entity recognition and relationship extraction web service
Comprehend Medical is a stateless and Health Insurance Portability and Accountability Act
(HIPAA) eligible Named Entity Recognition (NER) and Relationship Extraction (RE) service …
(HIPAA) eligible Named Entity Recognition (NER) and Relationship Extraction (RE) service …
Modelling radiological language with bidirectional long short-term memory networks
S Cornegruta, R Bakewell, S Withey… - arXiv preprint arXiv …, 2016 - arxiv.org
Motivated by the need to automate medical information extraction from free-text radiological
reports, we present a bi-directional long short-term memory (BiLSTM) neural network …
reports, we present a bi-directional long short-term memory (BiLSTM) neural network …
Joint entity extraction and assertion detection for clinical text
Negative medical findings are prevalent in clinical reports, yet discriminating them from
positive findings remains a challenging task for information extraction. Most of the existing …
positive findings remains a challenging task for information extraction. Most of the existing …
End-to-end joint entity extraction and negation detection for clinical text
Negative medical findings are prevalent in clinical reports, yet discriminating them from
positive findings remains a challenging task for information extraction. Most of the existing …
positive findings remains a challenging task for information extraction. Most of the existing …
Enhanced neurologic concept recognition using a named entity recognition model based on transformers
Although deep learning has been applied to the recognition of diseases and drugs in
electronic health records and the biomedical literature, relatively little study has been …
electronic health records and the biomedical literature, relatively little study has been …
[HTML][HTML] Unified concept and assertion detection using contextual multi-task learning in a clinical decision support system
S Narayanan, P Achan, PV Rangan… - Journal of biomedical …, 2021 - Elsevier
Assertions, such as negation and speculation, alter the meaning of clinical findings
('concepts') in Electronic Health Records. Accurate assertion detection is vital to the …
('concepts') in Electronic Health Records. Accurate assertion detection is vital to the …
Negation and speculation detection
NP Cruz Díaz, MJ Maña López - 2019 - torrossa.com
Negation and speculation are complex expressive linguistic phenomena that have been
extensively studied from a theoretical perspective (Morante & Sporleder, 2012). They modify …
extensively studied from a theoretical perspective (Morante & Sporleder, 2012). They modify …
Fine-grained biomedical knowledge negation detection via contrastive learning
Negation is a common and complex phenomenon in natural language, which will reverse
the truth value of knowledge extracted from sentences and make knowledge validation …
the truth value of knowledge extracted from sentences and make knowledge validation …
[PDF][PDF] Detección del alcance de las negaciones en español usando Conditional Random Fields.
Detectar automáticamente el alcance de las negaciones en los textos es un tema de mucha
importancia para varias tareas del procesamiento de lenguaje natural como el análisis de …
importancia para varias tareas del procesamiento de lenguaje natural como el análisis de …
[HTML][HTML] Deep contextual multi-task feature fusion for enhanced concept, negation and speculation detection from clinical notes
S Narayanan, SS Madhuri, MV Ramesh… - Informatics in Medicine …, 2022 - Elsevier
Effective clinical decision support calls for precise detection of clinical entities such as
diseases/disorders and associated assertions such as negation and speculation from …
diseases/disorders and associated assertions such as negation and speculation from …