AIMC Topic: Medical Subject Headings

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BioWordVec, improving biomedical word embeddings with subword information and MeSH.

Scientific data May 10, 2019
Distributed word representations have become an essential foundation for biomedical natural language processing (BioNLP), text mining and information retrieval. Word embeddings are traditionally computed at the word level from a large corpus of unlab...
Natural Language Processing Data Mining Medical Subject Headings Algorithms
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The Interplay of Knowledge Representation with Various Fields of Artificial Intelligence in Medicine.

Yearbook of medical informatics Apr 25, 2019
INTRODUCTION: Artificial intelligence (AI) is widespread in many areas, including medicine. However, it is unclear what exactly AI encompasses. This paper aims to provide an improved understanding of medical AI and its constituent fields, and their i...
Robotics Knowledge Bases Medical Informatics Artificial Intelligence Bibliometrics MEDLINE Medical Subject Headings
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Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction.

IEEE/ACM transactions on computational biology and bioinformatics May 21, 2018
Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts have built many large-scale knowledge bases (KBs) to advance the developm...
Algorithms Databases, Factual Language Humans Neural Networks, Computer Machine Learning Knowledge Bases Data Mining Medical Subject Headings False Positive Reactions Myoclonus Models, Statistical Myocardial Infarction Thrombosis Reproducibility of Results Inflammation
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Mining the literature for genes associated with placenta-mediated maternal diseases.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Automated literature analysis could significantly speed up understanding of the role of the placenta and the impact of its development and functions on the health of the mother and the child. To facilitate automatic extraction of information about pl...
Disease Placenta Supervised Machine Learning Medical Subject Headings Data Mining Pregnancy Complications Humans Pregnancy Female Genotype Support Vector Machine Linear Models MEDLINE
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Towards a more molecular taxonomy of disease.

Journal of biomedical semantics Jul 27, 2017
BACKGROUND: Disease taxonomies have been designed for many applications, but they tend not to fully incorporate the growing amount of molecular-level knowledge of disease processes, inhibiting research efforts. Understanding the degree to which we ca...
Biological Ontologies Medical Subject Headings Disease Humans Reproducibility of Results
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MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank.

Journal of biomedical semantics Apr 17, 2017
BACKGROUND: MeSH indexing is the task of assigning relevant MeSH terms based on a manual reading of scholarly publications by human indexers. The task is highly important for improving literature retrieval and many other scientific investigations in ...
Benchmarking PubMed Automation Abstracting and Indexing Medical Subject Headings Machine Learning
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MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken.

G3 (Bethesda, Md.) Aug 9, 2016
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...
Vocabulary, Controlled Gene Ontology Medical Subject Headings Terminology as Topic Humans Chickens Animals Databases, Genetic Semantics
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Learning disease relationships from clinical drug trials.

Journal of the American Medical Informatics Association : JAMIA May 17, 2016
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...
Humans Machine Learning Area Under Curve Data Mining Metadata Drug Evaluation Disease Medical Subject Headings Vocabulary, Controlled Clinical Trials as Topic Drug Therapy
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Improving the utility of MeSH® terms using the TopicalMeSH representation.

Journal of biomedical informatics Mar 19, 2016
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.
Decision Trees Information Storage and Retrieval Medical Subject Headings Humans Support Vector Machine
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Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-pred...
Humans Semantics MEDLINE Medical Subject Headings Cluster Analysis Natural Language Processing Information Storage and Retrieval Databases, Factual
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