AIMC Topic: Support Vector Machine

Clear Filters Showing 3741 to 3750 of 4975 articles

ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.

Molecular pharmaceutics Jul 18, 2016
Blockade of human ether-à-go-go related gene (hERG) channel by compounds may lead to drug-induced QT prolongation, arrhythmia, and Torsades de Pointes (TdP), and therefore reliable prediction of hERG liability in the early stages of drug design is qu...
Machine Learning Drug Discovery Support Vector Machine Cluster Analysis Potassium Channel Blockers Models, Molecular Bayes Theorem Quantitative Structure-Activity Relationship
View on PubMed DOI

Consistent quantitative gene product expression: #1. Automated identification of regenerating bone marrow cell populations using support vector machines.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Jul 14, 2016
Identification and quantification of maturing hematopoietic cell populations in flow cytometry data sets is a complex and sometimes irreproducible step in data analysis. Supervised machine learning algorithms present promise to automatically classify...
Flow Cytometry Pattern Recognition, Automated Hematopoietic Stem Cells Adolescent Child Leukemia, Myeloid, Acute Support Vector Machine Humans Algorithms Male Female Gene Expression Profiling Sensitivity and Specificity
View on PubMed DOI

Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images.

Computational and mathematical methods in medicine Jul 14, 2016
The focus of this research is on automated identification of the quality of human induced pluripotent stem cell (iPSC) colony images. iPS cell technology is a contemporary method by which the patient's cells are reprogrammed back to stem cells and ar...
Cell Culture Techniques Induced Pluripotent Stem Cells Models, Statistical Reproducibility of Results Pattern Recognition, Automated Quality Control Bayes Theorem Humans Support Vector Machine False Positive Reactions Regenerative Medicine Least-Squares Analysis Machine Learning Fibroblasts Algorithms
View on PubMed DOI

Support vector machines for automated snoring detection: proof-of-concept.

Sleep & breathing = Schlaf & Atmung Jul 13, 2016
BACKGROUND: Snoring has been shown to be associated with adverse physical and mental health, independent of the effects of sleep disordered breathing. Despite increasing evidence for the risks of snoring, few studies on sleep and health include objec...
Risk Factors Adult Humans Female Polysomnography Proof of Concept Study United States Middle Aged Snoring Support Vector Machine Diagnosis, Computer-Assisted Cohort Studies
View on PubMed DOI

Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose.

Sensors (Basel, Switzerland) Jul 13, 2016
In the application of electronic noses (E-noses), probabilistic prediction is a good way to estimate how confident we are about our prediction. In this work, a homemade E-nose system embedded with 16 metal-oxide semi-conductive gas sensors was used t...
Support Vector Machine Probability Panax Electronic Nose
View on PubMed DOI

Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures.

Journal of medical systems Jul 11, 2016
Obesity is a chronic disease with an increasing impact on the world's population. In this work, we present a method of identifying obesity automatically using text mining techniques and information related to body weight measures and obesity comorbid...
Data Mining Obesity Natural Language Processing Bayes Theorem Overweight Humans Electronic Health Records Support Vector Machine Artificial Intelligence Comorbidity
View on PubMed DOI

Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.

Clinical EEG and neuroscience Jul 10, 2016
The life quality of patients with refractory epilepsy is extremely affected by abrupt and unpredictable seizures. A reliable method for predicting seizures is important in the management of refractory epilepsy. A critical factor in seizure prediction...
Sensitivity and Specificity Male Disease Progression Diagnosis, Computer-Assisted Female Infant, Newborn Humans Reproducibility of Results Algorithms Diagnosis, Differential Adolescent Electroencephalography Epilepsy Child Pattern Recognition, Automated Support Vector Machine
View on PubMed DOI

An improved method for predicting interactions between virus and human proteins.

Journal of bioinformatics and computational biology Jul 10, 2016
The interaction of virus proteins with host proteins plays a key role in viral infection and consequent pathogenesis. Many computational methods have been proposed to predict protein-protein interactions (PPIs), but most of the computational methods ...
Viral Proteins Protein Interaction Mapping Alphapapillomavirus Computational Biology Support Vector Machine Databases, Protein Host-Pathogen Interactions Gene Ontology Humans Amino Acids Reproducibility of Results Hepacivirus
View on PubMed DOI

MetaPred2CS: a sequence-based meta-predictor for protein-protein interactions of prokaryotic two-component system proteins.

Bioinformatics (Oxford, England) Jul 4, 2016
MOTIVATION: Two-component systems (TCS) are the main signalling pathways of prokaryotes, and control a wide range of biological phenomena. Their functioning depends on interactions between TCS proteins, the specificity of which is poorly understood.
Proteins Prokaryotic Cells Support Vector Machine
View on PubMed DOI

Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN.

Australasian physical & engineering sciences in medicine Jul 4, 2016
Brain computer interface (BCI) is a new communication way between man and machine. It identifies mental task patterns stored in electroencephalogram (EEG). So, it extracts brain electrical activities recorded by EEG and transforms them machine contro...
Humans Neural Networks, Computer Machine Learning Electroencephalography Signal Processing, Computer-Assisted Support Vector Machine Female Pattern Recognition, Automated Principal Component Analysis Adult Least-Squares Analysis Brain-Computer Interfaces Male Task Performance and Analysis
View on PubMed DOI
Popular Topics
Recent Journals