AIMC Topic: Natural Language Processing

Clear Filters Showing 1191 to 1200 of 3983 articles

Regularizing transformers with deep probabilistic layers.

Neural networks : the official journal of the International Neural Network Society
Language models (LM) have grown non-stop in the last decade, from sequence-to-sequence architectures to attention-based Transformers. However, regularization is not deeply studied in those structures. In this work, we use a Gaussian Mixture Variation...

Using natural language processing to identify child maltreatment in health systems.

Child abuse & neglect
BACKGROUND: Rates of child maltreatment (CM) obtained from electronic health records are much lower than national child welfare prevalence rates indicate. There is a need to understand how CM is documented to improve reporting and surveillance.

Natural Language Processing Basics.

Clinical journal of the American Society of Nephrology : CJASN

Implicit Perception of Differences between NLP-Produced and Human-Produced Language in the Mentalizing Network.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Natural language processing (NLP) is central to the communication with machines and among ourselves, and NLP research field has long sought to produce human-quality language. Identification of informative criteria for measuring NLP-produced language ...

Deep learning approach to detection of colonoscopic information from unstructured reports.

BMC medical informatics and decision making
BACKGROUND: Colorectal cancer is a leading cause of cancer deaths. Several screening tests, such as colonoscopy, can be used to find polyps or colorectal cancer. Colonoscopy reports are often written in unstructured narrative text. The information em...

Extracting medication changes in clinical narratives using pre-trained language models.

Journal of biomedical informatics
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate patient care. Healthcare providers or the patients themselves may initiate...

User Feedback on the Use of a Natural Language Processing Application to Screen for Suicide Risk in the Emergency Department.

The journal of behavioral health services & research
Suicide is the 10th leading cause of death in the USA and globally. Despite decades of research, the ability to predict who will die by suicide is still no better than 50%. Traditional screening instruments have helped identify risk factors for suici...

Interaction with Industrial Digital Twin Using Neuro-Symbolic Reasoning.

Sensors (Basel, Switzerland)
Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtual yet realistic representations of the physical world in simulations to identify potential problems or opportunities for improvement. However, traditi...

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network.

Scientific reports
The electronic Medical Records and Genomics (eMERGE) Network assessed the feasibility of deploying portable phenotype rule-based algorithms with natural language processing (NLP) components added to improve performance of existing algorithms using el...

MedLexSp - a medical lexicon for Spanish medical natural language processing.

Journal of biomedical semantics
BACKGROUND: Medical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part-of-speech (PoS) tagging, lemmatization or natural language genera...