AI Medical Compendium Topic

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"Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words.

Studies in health technology and informatics
Extracting and understanding information, themes and relationships from large collections of documents is an important task for biomedical researchers. Latent Dirichlet Allocation is an unsupervised topic modeling technique using the bag-of-words ass...

PubMedReco: A Real-Time Recommender System for PubMed Citations.

Studies in health technology and informatics
We present a recommender system, PubMedReco, for real-time suggestions of medical articles from PubMed, a database of over 23 million medical citations. PubMedReco can recommend medical article citations while users are conversing in a synchronous co...

Word Sense Disambiguation of Medical Terms via Recurrent Convolutional Neural Networks.

Studies in health technology and informatics
BACKGROUND: Tagging text data with codes representing biomedical concepts plays an important role in medical data management and analysis. A problem occurs if there are ambiguous words linked to several concepts.

Development and Evaluation of a Case-Based Retrieval Service.

Studies in health technology and informatics
Identifying similar patients might greatly facilitate the treatment of a given patient, enabling to observe the response and outcome to a particular treatment. Case-based retrieval services dealing with natural language processing are of major import...

Learning disease relationships from clinical drug trials.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Our objective is to test the limits of the assumption that better learning from data in medicine requires more granular data. We hypothesize that clinical trial metadata contains latent scientific, clinical, and regulatory expert knowledge...

MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken.

G3 (Bethesda, Md.)
Biomedical vocabularies and ontologies aid in recapitulating biological knowledge. The annotation of gene products is mainly accelerated by Gene Ontology (GO), and more recently by Medical Subject Headings (MeSH). Here, we report a suite of MeSH pack...

Improving the utility of MeSH® terms using the TopicalMeSH representation.

Journal of biomedical informatics
OBJECTIVE: To evaluate whether vector representations encoding latent topic proportions that capture similarities to MeSH terms can improve performance on biomedical document retrieval and classification tasks, compared to using MeSH terms.

Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations.

Studies in health technology and informatics
The massive accumulation of biomedical knowledge is reflected by the growth of the literature database MEDLINE with over 23 million bibliographic records. All records are manually indexed by MeSH descriptors, many of them refined by MeSH subheadings....

Indexing Publicly Available Health Data with Medical Subject Headings (MeSH): An Evaluation of Term Coverage.

Studies in health technology and informatics
As part of the Open Government Initiative, the United States federal government published datasets to increase collaboration, transparency, consumer participation, and research, and are available online at HealthData.gov. Currently, HealthData.gov do...