AIMC Topic: Natural Language Processing

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Social Determinants of Health in EMS Records: A Mixed-methods Analysis Using Natural Language Processing and Qualitative Content Analysis.

The western journal of emergency medicine
Social determinants of health (SDoH) are known to impact the health and well-being of patients. However, information regarding them is not always collected in healthcare interactions, and healthcare professionals are not always well-trained or equip...

Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool.

JCO global oncology
PURPOSE: To evaluate the diagnostic performance of a natural language processing (NLP) model in detecting incidental lung nodules (ILNs) in unstructured chest computed tomography (CT) reports.

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction.

Briefings in bioinformatics
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially in drug-drug interactions (DDIs). DDIs refer to a change in the effect...

DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications.

Briefings in bioinformatics
Adverse drug events (ADEs) are common in clinical practice and can cause significant harm to patients and increase resource use. Natural language processing (NLP) has been applied to automate ADE detection, but NLP systems become less adaptable when ...

A marker-based neural network system for extracting social determinants of health.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The impact of social determinants of health (SDoH) on patients' healthcare quality and the disparity is well known. Many SDoH items are not coded in structured forms in electronic health records. These items are often captured in free-text...

The 2022 n2c2/UW shared task on extracting social determinants of health.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The n2c2/UW SDOH Challenge explores the extraction of social determinant of health (SDOH) information from clinical notes. The objectives include the advancement of natural language processing (NLP) information extraction techniques for SD...