AIMC Topic: Biomedical Research
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Knowledge Domain and Emerging Trends on Echinococcosis Research: A Scientometric Analysis.
International journal of environmental research and public health
Mar 8, 2019
The echinococcosis of humans and animals is a chronic helminthic disease caused by the larva of genus tapeworms. It is a globally distributed disease which is an important socioeconomic and public health problem in many low and middle-income countri...
Exploring semi-supervised variational autoencoders for biomedical relation extraction.
Methods (San Diego, Calif.)
Feb 27, 2019
The biomedical literature provides a rich source of knowledge such as protein-protein interactions (PPIs), drug-drug interactions (DDIs) and chemical-protein interactions (CPIs). Biomedical relation extraction aims to automatically extract biomedical...
Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications.
Journal of biomedical informatics
Feb 10, 2019
Quantifying scientific impact of researchers and journals relies largely on citation counts, despite the acknowledged limitations of this approach. The need for more suitable alternatives has prompted research into developing advanced metrics, such a...
A neural classification method for supporting the creation of BioVerbNet.
Journal of biomedical semantics
Jan 18, 2019
BACKGROUND: VerbNet, an extensive computational verb lexicon for English, has proved useful for supporting a wide range of Natural Language Processing tasks requiring information about the behaviour and meaning of verbs. Biomedical text processing an...
The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data.
PloS one
Jan 15, 2019
Recent years have seen a surge of studies in machine learning in health and biomedicine, driven by digitalization of healthcare environments and increasingly accessible computer systems for conducting analyses. Many of us believe that these developme...
Application of machine learning in rheumatic disease research.
The Korean journal of internal medicine
Dec 31, 2018
Over the past decade, there has been a paradigm shift in how clinical data are collected, processed and utilized. Machine learning and artificial intelligence, fueled by breakthroughs in high-performance computing, data availability and algorithmic i...
Fast and scalable neural embedding models for biomedical sentence classification.
BMC bioinformatics
Dec 22, 2018
BACKGROUND: Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse sem...
"Artificial intelligence": Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?
Therapie
Dec 13, 2018
Artificial intelligence (AI), beyond the concrete applications that have already become part of our daily lives, makes it possible to process numerous and heterogeneous data and knowledge, and to understand potentially complex and abstract rules in a...
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