AIMC Topic: MEDLINE
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Multiple kernels learning-based biological entity relationship extraction method.
Journal of biomedical semantics
Sep 20, 2017
BACKGROUND: Automatic extracting protein entity interaction information from biomedical literature can help to build protein relation network and design new drugs. There are more than 20 million literature abstracts included in MEDLINE, which is the ...
Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation.
Journal of biomedical informatics
Aug 7, 2017
Word sense disambiguation helps identifying the proper sense of ambiguous words in text. With large terminologies such as the UMLS Metathesaurus ambiguities appear and highly effective disambiguation methods are required. Supervised learning algorith...
Automatic identification of high impact articles in PubMed to support clinical decision making.
Journal of biomedical informatics
Jul 26, 2017
OBJECTIVES: The practice of evidence-based medicine involves integrating the latest best available evidence into patient care decisions. Yet, critical barriers exist for clinicians' retrieval of evidence that is relevant for a particular patient from...
DisArticle: a web server for SVM-based discrimination of articles on traditional medicine.
BMC complementary and alternative medicine
Jan 28, 2017
BACKGROUND: Much research has been done in Northeast Asia to show the efficacy of traditional medicine. While MEDLINE contains many biomedical articles including those on traditional medicine, it does not categorize those articles by specific researc...
Automated learning of domain taxonomies from text using background knowledge.
Journal of biomedical informatics
Sep 3, 2016
In this paper, we present an automated method for taxonomy learning, focusing on concept formation and hierarchical relation learning. To infer such relations, we partition the extracted concepts and group them into closely-related clusters using Hie...
Neural correlates of consciousness in patients who have emerged from a minimally conscious state: a cross-sectional multimodal imaging study.
The Lancet. Neurology
Apr 27, 2016
BACKGROUND: Between pathologically impaired consciousness and normal consciousness exists a scarcely researched transition zone, referred to as emergence from minimally conscious state, in which patients regain the capacity for functional communicati...
Automated identification of molecular effects of drugs (AIMED).
Journal of the American Medical Informatics Association : JAMIA
Apr 23, 2016
INTRODUCTION: Genomic profiling information is frequently available to oncologists, enabling targeted cancer therapy. Because clinically relevant information is rapidly emerging in the literature and elsewhere, there is a need for informatics technol...
An IR-Based Approach Utilizing Query Expansion for Plagiarism Detection in MEDLINE.
IEEE/ACM transactions on computational biology and bioinformatics
Mar 16, 2016
The identification of duplicated and plagiarized passages of text has become an increasingly active area of research. In this paper, we investigate methods for plagiarism detection that aim to identify potential sources of plagiarism from MEDLINE, pa...
Classification of clinically useful sentences in clinical evidence resources.
Journal of biomedical informatics
Jan 13, 2016
UNLABELLED: Most patient care questions raised by clinicians can be answered by online clinical knowledge resources. However, important barriers still challenge the use of these resources at the point of care.
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...
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