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Databases, Factual
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A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool.
Bioinformatics (Oxford, England)
Oct 17, 2015
SUMMARY: Gene Ontology (GO) semantic similarity measures are being used for biological knowledge discovery based on GO annotations by integrating biological information contained in the GO structure into data analyses. To empower users to quickly com...
Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders.
Annals of biomedical engineering
Oct 13, 2015
We developed a machine learning methodology for automatic sleep stage scoring. Our time-frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific signal features as described in the American Academy of Sleep Medicine m...
Building integrated ontological knowledge structures with efficient approximation algorithms.
BioMed research international
Oct 13, 2015
The integration of ontologies builds knowledge structures which brings new understanding on existing terminologies and their associations. With the steady increase in the number of ontologies, automatic integration of ontologies is preferable over ma...
An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images.
Scientific reports
Oct 9, 2015
This research proposes an intelligent decision support system for acute lymphoblastic leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with stimulating discriminant measures (SDM) of both within- and between-cluster sca...
Survey of Natural Language Processing Techniques in Bioinformatics.
Computational and mathematical methods in medicine
Oct 7, 2015
Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives. First, we...
A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction.
BioMed research international
Oct 4, 2015
Blood-brain barrier (BBB) is a highly complex physical barrier determining what substances are allowed to enter the brain. Support vector machine (SVM) is a kernel-based machine learning method that is widely used in QSAR study. For a successful SVM ...
Information extraction from multi-institutional radiology reports.
Artificial intelligence in medicine
Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Medical Record Linkage
Semantics
Pattern Recognition, Automated
Radiology Information Systems
Models, Theoretical
Predictive Value of Tests
Natural Language Processing
Discriminant Analysis
Radiographic Image Interpretation, Computer-Assisted
Data Mining
Observer Variation
Information Storage and Retrieval
Databases, Factual
Electronic Health Records
Reproducibility of Results
United States
Humans
Machine Learning
Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices.
Journal of chromatography. A
Oct 1, 2015
The development of quantitative structure-retention relationships (QSRR) aims at constructing an appropriate linear/nonlinear model for the prediction of the retention behavior (such as Kovats retention index) of a solute on a chromatographic column....
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE transactions on medical imaging
Sep 28, 2015
Automated computer-aided detection (CADe) has been an important tool in clinical practice and research. State-of-the-art methods often show high sensitivities at the cost of high false-positives (FP) per patient rates. We design a two-tiered coarse-t...
Deficient serum 25-hydroxyvitamin D is associated with an atherogenic lipid profile: The Very Large Database of Lipids (VLDL-3) study.
Journal of clinical lipidology
Sep 25, 2015
BACKGROUND: Cross-sectional studies have found an association between deficiencies in serum vitamin D, as measured by 25-hydroxyvitamin D (25[OH]D), and an atherogenic lipid profile. These studies have focused on a limited panel of lipid values inclu...
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