AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 201 to 210 of 493 articles

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C).

Journal of the American Medical Informatics Association : JAMIA
Despite recent methodology advancements in clinical natural language processing (NLP), the adoption of clinical NLP models within the translational research community remains hindered by process heterogeneity and human factor variations. Concurrently...

LeafAI: query generator for clinical cohort discovery rivaling a human programmer.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Identifying study-eligible patients within clinical databases is a critical step in clinical research. However, accurate query design typically requires extensive technical and biomedical expertise. We sought to create a system capable of ...

Two complementary AI approaches for predicting UMLS semantic group assignment: heuristic reasoning and deep learning.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Use heuristic, deep learning (DL), and hybrid AI methods to predict semantic group (SG) assignments for new UMLS Metathesaurus atoms, with target accuracy ≥95%.

The case for expressing nursing theories using ontologies.

Journal of the American Medical Informatics Association : JAMIA
Nursing and informatics share a common strength in their use of structured representations of domains, specifically the underlying notion of 'things' (ie, concepts, constructs, or named entities) and the relationships among those things. Accurate rep...

Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Incorporating artificial intelligence (AI) into clinics brings the risk of automation bias, which potentially misleads the clinician's decision-making. The purpose of this study was to propose a potential strategy to mitigate automation b...

Narrowing the gap: expected versus deployment performance.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Successful model development requires both an accurate a priori understanding of future performance and high performance on deployment. Optimistic estimations of model performance that are unrealized in real-world clinical settings can co...

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...

AI in health: keeping the human in the loop.

Journal of the American Medical Informatics Association : JAMIA

Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: As the real-world electronic health record (EHR) data continue to grow exponentially, novel methodologies involving artificial intelligence (AI) are becoming increasingly applied to enable efficient data-driven learning and, ultimately, t...