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Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology.

Journal of biomedical informatics Feb 10, 2016
Biomedical ontologies contain errors. Crowdsourcing, defined as taking a job traditionally performed by a designated agent and outsourcing it to an undefined large group of people, provides scalable access to humans. Therefore, the crowd has the pote...
Search Engine Task Performance and Analysis Gene Ontology Crowdsourcing Software Algorithms Area Under Curve Computational Biology Humans Internet Systematized Nomenclature of Medicine Analysis of Variance
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Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients.

PloS one Feb 10, 2016
OBJECTIVE: Quantitative ventricular fibrillation (VF) waveform analysis is a potentially powerful tool to optimize defibrillation. However, whether combining VF features with additional attributes that related to the previous shock could enhance the ...
Humans Electric Countershock Retrospective Studies Ventricular Fibrillation Predictive Value of Tests Sensitivity and Specificity Defibrillators Out-of-Hospital Cardiac Arrest Neural Networks, Computer Area Under Curve ROC Curve Software Signal Processing, Computer-Assisted Electrocardiography Treatment Outcome
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Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

Journal of biomedical informatics Feb 2, 2016
OBJECTIVE: Wide-scale adoption of electronic medical records (EMRs) has created an unprecedented opportunity for the implementation of Rapid Learning Systems (RLSs) that leverage primary clinical data for real-time decision support. In cancer, where ...
Humans Machine Learning User-Computer Interface Decision Support Systems, Clinical Patient Selection Software Proto-Oncogene Proteins B-raf Electronic Health Records Melanoma
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Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System.

Computational and mathematical methods in medicine Feb 2, 2016
BACKGROUND: Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD progression over time is necessary for reducing its costs and mortality rates. The present study proposes an adaptive neurofuzzy inference system (ANFIS) for pre...
Time Factors Phosphorus Male Renal Insufficiency, Chronic Humans Aged Fuzzy Logic Expert Systems Glomerular Filtration Rate Middle Aged Artificial Intelligence Blood Pressure Adult Renal Insufficiency Disease Progression Software Calcium Creatine Female Reproducibility of Results
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ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition.

BioMed research international Jan 28, 2016
Named Entity Recognition (NER) from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This ...
Chemical Phenomena Terminology as Topic Support Vector Machine Natural Language Processing Data Mining Machine Learning Software Algorithms
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TensorFlow: Biology's Gateway to Deep Learning?

Cell systems Jan 27, 2016
TensorFlow is Google's recently released open-source software for deep learning. What are its applications for computational biology?
Computational Biology Synthetic Biology Software Design Machine Learning Software Databases, Factual
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A Factor Graph Approach to Automated GO Annotation.

PloS one Jan 15, 2016
As volume of genomic data grows, computational methods become essential for providing a first glimpse onto gene annotations. Automated Gene Ontology (GO) annotation methods based on hierarchical ensemble classification techniques are particularly int...
Saccharomyces cerevisiae Drosophila melanogaster Gene Ontology Animals Computational Biology Solanum lycopersicum Arabidopsis Software Algorithms
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NOBLE - Flexible concept recognition for large-scale biomedical natural language processing.

BMC bioinformatics Jan 14, 2016
BACKGROUND: Natural language processing (NLP) applications are increasingly important in biomedical data analysis, knowledge engineering, and decision support. Concept recognition is an important component task for NLP pipelines, and can be either ge...
Algorithms Natural Language Processing Humans Software
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Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey.

Traffic injury prevention Jan 13, 2016
OBJECTIVE: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fau...
Humans Neural Networks, Computer Accidents, Traffic Software Turkey Computer Simulation Models, Theoretical
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UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines.

BMC systems biology Jan 11, 2016
BACKGROUND: The conjugation of ubiquitin to a substrate protein (protein ubiquitylation), which involves a sequential process--E1 activation, E2 conjugation and E3 ligation, is crucial to the regulation of protein function and activity in eukaryotes....
Lysine Ubiquitin Ubiquitination Amino Acid Motifs Sequence Analysis, Protein Protein Domains Amino Acid Sequence Software Datasets as Topic Proteomics Proteome Machine Learning Mass Spectrometry Models, Molecular
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