AIMC Topic: Software

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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.

BMC bioinformatics Apr 30, 2015
BACKGROUND: This article provides an overview of the first BIOASQ challenge, a competition on large-scale biomedical semantic indexing and question answering (QA), which took place between March and September 2013. BIOASQ assesses the ability of syst...
Algorithms United States Natural Language Processing PubMed Humans Software National Library of Medicine (U.S.) Semantics Abstracting and Indexing Medical Subject Headings
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Registries Burns Body Surface Area Wales Smoke Inhalation Injury Support Vector Machine Age Factors Models, Statistical Bayes Theorem Child ROC Curve Logistic Models Young Adult Adult Male Risk Assessment Machine Learning Infant Humans Software Neural Networks, Computer England Decision Support Techniques Adolescent Female Child, Preschool
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PaPI: pseudo amino acid composition to score human protein-coding variants.

BMC bioinformatics Apr 19, 2015
BACKGROUND: High throughput sequencing technologies are able to identify the whole genomic variation of an individual. Gene-targeted and whole-exome experiments are mainly focused on coding sequence variants related to a single or multiple nucleotide...
Amino Acids Genetic Variation High-Throughput Nucleotide Sequencing Genome, Human Software Algorithms Proteins Exome Humans Artificial Intelligence
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Machine-learning scoring functions for identifying native poses of ligands docked to known and novel proteins.

BMC bioinformatics Apr 17, 2015
BACKGROUND: Molecular docking is a widely-employed method in structure-based drug design. An essential component of molecular docking programs is a scoring function (SF) that can be used to identify the most stable binding pose of a ligand, when boun...
Ligands Binding Sites Drug Design Drug Discovery Humans Protein Binding Artificial Intelligence Proteins Software
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DyKOSMap: A framework for mapping adaptation between biomedical knowledge organization systems.

Journal of biomedical informatics Apr 15, 2015
BACKGROUND: Knowledge Organization Systems (KOS) and their associated mappings play a central role in several decision support systems. However, by virtue of knowledge evolution, KOS entities are modified over time, impacting mappings and potentially...
Data Accuracy Semantics Medical Record Linkage Database Management Systems Natural Language Processing Knowledge Bases Software Data Mining Databases, Factual Decision Support Systems, Clinical
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Woods: A fast and accurate functional annotator and classifier of genomic and metagenomic sequences.

Genomics Apr 8, 2015
Functional annotation of the gigantic metagenomic data is one of the major time-consuming and computationally demanding tasks, which is currently a bottleneck for the efficient analysis. The commonly used homology-based methods to functionally annota...
Proteins Humans Metagenomics Molecular Sequence Annotation Machine Learning Sequence Analysis, Protein Software Genomics
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Degradation and mineralization of phenol compounds with goethite catalyst and mineralization prediction using artificial intelligence.

PloS one Apr 7, 2015
The efficiency of phenol degradation via Fenton reaction using mixture of heterogeneous goethite catalyst with homogeneous ferrous ion was analyzed as a function of three independent variables, initial concentration of phenol (60 to 100 mg /L), weigh...
Ferrous Compounds Ferric Compounds Water Pollutants Iron Compounds Neural Networks, Computer Artificial Intelligence Catalysis Software Minerals Hydrogen Peroxide Oxidants Phenols
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Detecting tympanostomy tubes from otoscopic images via offline and online training.

Computers in biology and medicine Apr 4, 2015
Tympanostomy tube placement has been commonly used nowadays as a surgical treatment for otitis media. Following the placement, regular scheduled follow-ups for checking the status of the tympanostomy tubes are important during the treatment. The comp...
Education, Medical, Continuing Internet Humans Otoscopy Middle Ear Ventilation Software Support Vector Machine
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Noninvasive reconstruction of cardiac transmembrane potentials using a kernelized extreme learning method.

Physics in medicine and biology Mar 27, 2015
Non-invasively reconstructing the cardiac transmembrane potentials (TMPs) from body surface potentials can act as a regression problem. The support vector regression (SVR) method is often used to solve the regression problem, however the computationa...
Models, Cardiovascular Membrane Potentials Electrocardiography Regression Analysis Heart Algorithms Computer Simulation Humans Image Processing, Computer-Assisted Neural Networks, Computer Models, Theoretical Software
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KeBABS: an R package for kernel-based analysis of biological sequences.

Bioinformatics (Oxford, England) Mar 25, 2015
KeBABS provides a powerful, flexible and easy to use framework for KE: rnel- B: ased A: nalysis of B: iological S: equences in R. It includes efficient implementations of the most important sequence kernels, also including variants that allow for tak...
Software Algorithms Computer Simulation Models, Theoretical Support Vector Machine Peptide Fragments HLA-A2 Antigen Humans Artificial Intelligence Sequence Analysis, Protein
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