AIMC Topic: Biomedical Research

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Knowledge Discovery from Biomedical Ontologies in Cross Domains.

PloS one Aug 22, 2016
In recent years, there is an increasing demand for sharing and integration of medical data in biomedical research. In order to improve a health care system, it is required to support the integration of data by facilitating semantic interoperability s...
Biomedical Research Semantics Vocabulary, Controlled Knowledge Humans Biological Ontologies Data Mining Software
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Biomedical event trigger detection by dependency-based word embedding.

BMC medical genomics Aug 10, 2016
BACKGROUND: In biomedical research, events revealing complex relations between entities play an important role. Biomedical event trigger identification has become a research hotspot since its important role in biomedical event extraction. Traditional...
Humans Neural Networks, Computer Machine Learning PubMed Information Storage and Retrieval Algorithms Semantics Biomedical Research
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Robot and Neuroscience Technology: Computational and Engineering Approaches in Medicine.

Computational intelligence and neuroscience Jul 25, 2016
Humans Neurosciences Engineering Biomedical Research Robotics
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Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

PloS one Jul 21, 2016
Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multipl...
Time Factors Child Hyperglycemia Feasibility Studies Diabetes Mellitus, Type 1 Insulin Cohort Studies Humans Adolescent Blood Glucose Computer Simulation Adult Machine Learning Biomedical Research Algorithms
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Machine learning, statistical learning and the future of biological research in psychiatry.

Psychological medicine Jul 13, 2016
Psychiatric research has entered the age of 'Big Data'. Datasets now routinely involve thousands of heterogeneous variables, including clinical, neuroimaging, genomic, proteomic, transcriptomic and other 'omic' measures. The analysis of these dataset...
Datasets as Topic Probability Learning Humans Psychiatry Biomedical Research Machine Learning
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Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources.

PLoS computational biology Jun 23, 2016
The diversity of online resources storing biological data in different formats provides a challenge for bioinformaticians to integrate and analyse their biological data. The semantic web provides a standard to facilitate knowledge integration using s...
Semantics Biological Ontologies Computational Biology Humans Internet Biomedical Research Information Storage and Retrieval
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A Fuzzy Permutation Method for False Discovery Rate Control.

Scientific reports Jun 22, 2016
Biomedical researchers often encounter the large-p-small-n situations-a great number of variables are measured/recorded for only a few subjects. The authors propose a fuzzy permutation method to address the multiple testing problem for small sample s...
Monte Carlo Method Sample Size Fuzzy Logic False Positive Reactions Models, Statistical Biomedical Research
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Large scale biomedical texts classification: a kNN and an ESA-based approaches.

Journal of biomedical semantics Jun 16, 2016
BACKGROUND: With the large and increasing volume of textual data, automated methods for identifying significant topics to classify textual documents have received a growing interest. While many efforts have been made in this direction, it still remai...
Biological Ontologies Machine Learning Biomedical Research Data Mining Semantics Natural Language Processing Humans
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A corpus of potentially contradictory research claims from cardiovascular research abstracts.

Journal of biomedical semantics Jun 7, 2016
BACKGROUND: Research literature in biomedicine and related fields contains a huge number of claims, such as the effectiveness of treatments. These claims are not always consistent and may even contradict each other. Being able to identify contradicto...
Cardiovascular Diseases Natural Language Processing Review Literature as Topic Biomedical Research Medicine in Literature Abstracting and Indexing Cardiovascular System
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Generation of open biomedical datasets through ontology-driven transformation and integration processes.

Journal of biomedical semantics Jun 3, 2016
BACKGROUND: Biomedical research usually requires combining large volumes of data from multiple heterogeneous sources, which makes difficult the integrated exploitation of such data. The Semantic Web paradigm offers a natural technological space for d...
Humans Databases, Factual Biological Ontologies Internet Electronic Health Records Semantics Biomedical Research
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