AIMC Topic:
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An Efficient Data Partitioning to Improve Classification Performance While Keeping Parameters Interpretable.

PloS one Aug 26, 2016
Supervised machine learning methods typically require splitting data into multiple chunks for training, validating, and finally testing classifiers. For finding the best parameters of a classifier, training and validation are usually carried out with...
Artificial Intelligence Machine Learning Electrophysiology Software Humans Algorithms Computer Simulation Models, Theoretical Reproducibility of Results Electroencephalography Pattern Recognition, Automated
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Predicting lung cancer prognosis using machine learning.

The Lancet. Oncology Aug 25, 2016
Decision Support Techniques Carcinoma, Squamous Cell ROC Curve Humans Machine Learning Software Automation Carcinoma, Non-Small-Cell Lung Neoplasm Staging Lung Neoplasms Adenocarcinoma of Lung Predictive Value of Tests Survival Analysis Adenocarcinoma Image Interpretation, Computer-Assisted Area Under Curve
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A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm.

PloS one Aug 25, 2016
Particle swarm optimization (PSO) is an evolutionary computing method based on intelligent collective behavior of some animals. It is easy to implement and there are few parameters to adjust. The performance of PSO algorithm depends greatly on the ap...
Time Factors Computational Biology Models, Statistical Software Algorithms Computer Simulation Artificial Intelligence
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BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.

BioMed research international Aug 22, 2016
MicroRNAs (miRNAs) are a set of short (21-24 nt) noncoding RNAs that play significant regulatory roles in cells. In the past few years, research on miRNA-related problems has become a hot field of bioinformatics because of miRNAs' essential biologica...
Sequence Analysis, RNA Molecular Sequence Data Base Sequence Software Humans Species Specificity Neural Networks, Computer Algorithms RNA Precursors MicroRNAs Animals Pattern Recognition, Automated
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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...
Humans Biological Ontologies Vocabulary, Controlled Software Data Mining Knowledge Biomedical Research Semantics
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The Markyt visualisation, prediction and benchmark platform for chemical and gene entity recognition at BioCreative/CHEMDNER challenge.

Database : the journal of biological databases and curation Aug 19, 2016
Biomedical text mining methods and technologies have improved significantly in the last decade. Considerable efforts have been invested in understanding the main challenges of biomedical literature retrieval and extraction and proposing solutions to ...
Genes Humans Software Animals Natural Language Processing Pharmaceutical Preparations Data Mining
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The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.

Journal of biomedical semantics Aug 18, 2016
BACKGROUND: We developed the Apollo Structured Vocabulary (Apollo-SV)-an OWL2 ontology of phenomena in infectious disease epidemiology and population biology-as part of a project whose goal is to increase the use of epidemic simulators in public heal...
Biological Ontologies Epidemics Software Communicable Diseases Models, Statistical Humans
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Mining biomedical images towards valuable information retrieval in biomedical and life sciences.

Database : the journal of biological databases and curation Aug 18, 2016
Biomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous ...
Natural Language Processing Data Mining Software Animals Image Processing, Computer-Assisted Humans
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Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science.

PloS one Aug 17, 2016
One of the prevailing applications of machine learning is the use of predictive modelling in clinical survival analysis. In this work, we present our view of the current situation of computer tools for survival analysis, stressing the need of transfe...
Models, Theoretical Internet Survival Analysis Algorithms Lung Neoplasms Humans Neural Networks, Computer Machine Learning Software
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Large-scale neuromorphic computing systems.

Journal of neural engineering Aug 16, 2016
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them from mainstream conventional computing systems. The philosophy behind n...
Humans Computer Simulation Computational Biology Models, Neurological Neural Networks, Computer Software Brain
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