AI Medical Compendium Topic:
Information Storage and Retrieval

Clear Filters Showing 551 to 560 of 676 articles

Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review.

Journal of gastroenterology and hepatology
For a long time, gut bacteria have been recognized for their important roles in the occurrence and progression of gastrointestinal diseases like colorectal cancer, and the ever-increasing amounts of microbiome data combined with other high-quality cl...

UMLS-based data augmentation for natural language processing of clinical research literature.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The study sought to develop and evaluate a knowledge-based data augmentation method to improve the performance of deep learning models for biomedical natural language processing by overcoming training data scarcity.

Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To develop an algorithm for building longitudinal medication dose datasets using information extracted from clinical notes in electronic health records (EHRs).

Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.

Bioinformatics (Oxford, England)
MOTIVATION: The development of deep, bidirectional transformers such as Bidirectional Encoder Representations from Transformers (BERT) led to an outperformance of several Natural Language Processing (NLP) benchmarks. Especially in radiology, large am...

An evaluation of two commercial deep learning-based information retrieval systems for COVID-19 literature.

Journal of the American Medical Informatics Association : JAMIA
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, leading to both corpora for COVID-19 literature and search engines to query such data. While most search engine research is performed in academia...

Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19.

Journal of the American Medical Informatics Association : JAMIA
The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a solution to guide clinical decision-making for this novel disease,...

Mouse Genome Database (MGD): Knowledgebase for mouse-human comparative biology.

Nucleic acids research
The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the community model organism knowledgebase for the laboratory mouse, a widely used animal model for comparative studies of the genetic and genomic basis for human health and disease. ...

Biomedical named entity recognition and linking datasets: survey and our recent development.

Briefings in bioinformatics
Natural language processing (NLP) is widely applied in biological domains to retrieve information from publications. Systems to address numerous applications exist, such as biomedical named entity recognition (BNER), named entity normalization (NEN) ...

PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to s...

The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts.