AIMC Topic: PubMed

Clear Filters Showing 121 to 130 of 157 articles

NEREL-BIO: a dataset of biomedical abstracts annotated with nested named entities.

Bioinformatics (Oxford, England)
MOTIVATION: This article describes NEREL-BIO-an annotation scheme and corpus of PubMed abstracts in Russian and smaller number of abstracts in English. NEREL-BIO extends the general domain dataset NEREL by introducing domain-specific entity types. NE...

On the effectiveness of compact biomedical transformers.

Bioinformatics (Oxford, England)
MOTIVATION: Language models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising results on downstream biomedical tasks. Many existing pre-trained models, on the other hand, are resource-intensive and computationally heav...

Artificial intelligence and health inequities in primary care: a systematic scoping review and framework.

Family medicine and community health
OBJECTIVE: Artificial intelligence (AI) will have a significant impact on healthcare over the coming decade. At the same time, health inequity remains one of the biggest challenges. Primary care is both a driver and a mitigator of health inequities a...

A survey of automated methods for biomedical text simplification.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Plain language in medicine has long been advocated as a way to improve patient understanding and engagement. As the field of Natural Language Processing has progressed, increasingly sophisticated methods have been explored for the automati...

Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics.

Database : the journal of biological databases and curation
The identification of chemicals in articles has attracted a large interest in the biomedical scientific community, given its importance in drug development research. Most of previous research have focused on PubMed abstracts, and further investigatio...

Artificial Intelligence Solutions to Detect Fraud in Healthcare Settings: A Scoping Review.

Studies in health technology and informatics
Over the past decade, Artificial Intelligence (AI) technologies have quickly become implemented in protecting data, including detecting fraud in healthcare organizations. This scoping review aims to explore AI solutions utilized in fraud detection oc...

Named Entity Recognition in Pubmed Abstracts for Pharmacovigilance Using Deep Learning.

Studies in health technology and informatics
Methods of natural language processing associated with machine learning or deep learning can support detection of adverse drug reactions in abstracts of case reports available on Pubmed. In 2012, Gurulingappa et al. proposed a training set for the re...

Performance of Machine Learning Methods to Classify French Medical Publications.

Studies in health technology and informatics
Many medical narratives are read by care professionals in their preferred language. These documents can be produced by organizations, authorities or national publishers. However, they are often hardly findable using the usual query engines based on E...

REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.

Studies in health technology and informatics
To enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform...

A web-based tool for automatically linking clinical trials to their publications.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registrie...