AIMC Topic: MEDLINE

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Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
This year less than 200 National Library of Medicine indexers expect to index 1 million articles, and this would not be possible without the assistance of the Medical Text Indexer (MTI) system. MTI is an automated indexing system that provides MeSH m...
MEDLINE Medical Subject Headings National Library of Medicine (U.S.) United States Natural Language Processing Abstracting and Indexing Unified Medical Language System Humans Neural Networks, Computer Machine Learning
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Using the contextual language model BERT for multi-criteria classification of scientific articles.

Journal of biomedical informatics Oct 13, 2020
BACKGROUND: Finding specific scientific articles in a large collection is an important natural language processing challenge in the biomedical domain. Systematic reviews and interactive article search are the type of downstream applications that bene...
Systematic Reviews as Topic Information Storage and Retrieval MEDLINE Machine Learning Natural Language Processing
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A High Recall Classifier for Selecting Articles for MEDLINE Indexing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
MEDLINE is the National Library of Medicine's premier bibliographic database for biomedical literature. A highly valuable feature of the database is that each record is manually indexed with a controlled vocabulary called MeSH. Most MEDLINE journals ...
United States Medical Subject Headings Neural Networks, Computer National Library of Medicine (U.S.) Abstracting and Indexing Machine Learning MEDLINE
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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...
Bibliometrics Medical Informatics Artificial Intelligence Robotics MEDLINE Knowledge Bases Medical Subject Headings
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Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Disease-symptom relation is an important biomedical relation that can be used for clinical decision support including building medical diagnostic systems. Here we present a study on mining disease-symptom relation from massive biomedical literature a...
Diagnosis Symptom Assessment Biological Ontologies MEDLINE Disease Data Mining Information Storage and Retrieval Humans Decision Support Systems, Clinical PubMed
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SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.

BMC bioinformatics Nov 6, 2018
BACKGROUND: Despite a wide adoption of English in science, a significant amount of biomedical data are produced in other languages, such as French. Yet a majority of natural language processing or semantic tools as well as domain terminologies or ont...
Data Analysis Gene Expression Profiling Natural Language Processing Humans Semantics Biological Ontologies Abstracting and Indexing Health Records, Personal Information Storage and Retrieval Medical Informatics MEDLINE France
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Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.

Journal of biomedical informatics Aug 18, 2018
Gene ontology (GO) provides a representation of terms and categories used to describe genes and their molecular functions, cellular components and biological processes. GO has been the standard for describing the functions of specific genes in differ...
Molecular Sequence Annotation Gene Ontology Models, Statistical Decision Trees Databases, Protein Predictive Value of Tests Markov Chains MEDLINE Animals Computational Biology Databases, Genetic Algorithms Reproducibility of Results Humans
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Biomedical literature classification with a CNNs-based hybrid learning network.

PloS one Jul 26, 2018
Deep learning techniques, e.g., Convolutional Neural Networks (CNNs), have been explosively applied to the research in the fields of information retrieval and natural language processing. However, few research efforts have addressed semantic indexing...
Humans Neural Networks, Computer Machine Learning Natural Language Processing Abstracting and Indexing Periodicals as Topic MEDLINE Information Storage and Retrieval Semantics
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An effective neural model extracting document level chemical-induced disease relations from biomedical literature.

Journal of biomedical informatics May 8, 2018
Since identifying relations between chemicals and diseases (CDR) are important for biomedical research and healthcare, the challenge proposed by BioCreative V requires automatically mining causal relationships between chemicals and diseases which may...
Causality Publications Data Mining MEDLINE Chemically-Induced Disorders Neural Networks, Computer
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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...
Data Mining Linear Models MEDLINE Support Vector Machine Placenta Supervised Machine Learning Humans Medical Subject Headings Pregnancy Pregnancy Complications Female Disease Genotype
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