AIMC Topic: Support Vector Machine

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Resting-state anticorrelated networks in Schizophrenia.

Psychiatry research. Neuroimaging Dec 25, 2018
Converging evidences from different lines of research suggest abnormalities in functional brain connectivity in schizophrenia. While positively correlated brain networks have been well researched, anticorrelated functional connectivity remains under ...
Neural Pathways Thalamus Temporal Lobe Case-Control Studies Support Vector Machine Rest Female Gyrus Cinguli Brain Mapping Magnetic Resonance Imaging Adult Male Schizophrenia Humans Machine Learning Brain
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Prediction of matrix metal proteinases-12 inhibitors by machine learning approaches.

Journal of biomolecular structure & dynamics Dec 24, 2018
Matrix metal proteinases-12 (MMP-12) is a hot pharmaceutical target on the treatment of many human diseases. There's a crying need for designing and finding new MMP-12 inhibitors. In this work, four machine learning approaches, support vector machine...
Machine Learning Algorithms Reproducibility of Results Molecular Structure Quantitative Structure-Activity Relationship Drug Discovery Matrix Metalloproteinase Inhibitors ROC Curve Matrix Metalloproteinase 12 Support Vector Machine
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Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.

Addiction (Abingdon, England) Dec 21, 2018
BACKGROUND AND AIMS: The experience of alcohol use among adolescents is complex, with international differences in age of purchase and individual differences in consumption and consequences. This latter underlines the importance of prediction modelin...
Humans Risk-Taking Regression Analysis Cross-Cultural Comparison Underage Drinking Adolescent Cohort Studies Child Support Vector Machine Neural Networks, Computer Forecasting Australia Machine Learning Female Algorithms Canada Male Logistic Models
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An SVM-based method for assessment of transcription factor-DNA complex models.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Atomic details of protein-DNA complexes can provide insightful information for better understanding of the function and binding specificity of DNA binding proteins. In addition to experimental methods for solving protein-DNA complex struc...
Support Vector Machine Algorithms DNA Protein Binding Models, Molecular Transcription Factors
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Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram.

Physiological measurement Dec 21, 2018
OBJECTIVE: This study classifies sleep stages from a single lead electrocardiogram (ECG) using beat detection, cardiorespiratory coupling in the time-frequency domain and a deep convolutional neural network (CNN).
Humans Neural Networks, Computer Deep Learning Signal Processing, Computer-Assisted Wakefulness Sleep Stages Time Factors Electrocardiography Support Vector Machine
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A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features.

IEEE transactions on bio-medical engineering Dec 20, 2018
UNLABELLED: Cough is a protective reflex conveying information on the state of the respiratory system. Cough assessment has been limited so far to subjective measurement tools or uncomfortable (i.e., non-wearable) cough monitors. This limits the pote...
Sound Spectrography Signal-To-Noise Ratio Monitoring, Physiologic Cough Signal Processing, Computer-Assisted Male Humans Middle Aged Female Support Vector Machine Aged Sensitivity and Specificity
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Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Dec 20, 2018
BACKGROUND AND PURPOSE: Thrombus characteristics identified on non-contrast CT (NCCT) are potentially associated with recanalization with intravenous (IV) alteplase in patients with acute ischemic stroke (AIS). Our aim was to determine the best radio...
Humans Aged Male Tomography, X-Ray Computed Female Image Interpretation, Computer-Assisted Middle Aged Treatment Outcome Intracranial Thrombosis Neuroimaging Case-Control Studies Support Vector Machine Stroke Computed Tomography Angiography ROC Curve Tissue Plasminogen Activator
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Uncertainty optimization of dental implant based on finite element method, global sensitivity analysis and support vector regression.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Dec 19, 2018
In this work, an uncertainty optimization approach for dental implant is proposed to reduce the stress at implant-bone interface. Finite element method is utilized to calculate the stress at implant-bone interface, and support vector regression is us...
Finite Element Analysis Uncertainty Regression Analysis Dental Implants Dental Prosthesis Design Support Vector Machine
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Similarity-based machine learning support vector machine predictor of drug-drug interactions with improved accuracies.

Journal of clinical pharmacy and therapeutics Dec 18, 2018
WHAT IS KNOWN AND OBJECTIVE: Drug-drug interactions (DDI) are frequent causes of adverse clinical drug reactions. Efforts have been directed at the early stage to achieve accurate identification of DDI for drug safety assessments, including the devel...
Pharmacovigilance Support Vector Machine Drug Interactions Drug-Related Side Effects and Adverse Reactions Humans Computer Simulation Reproducibility of Results Machine Learning Databases, Factual
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SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples.

Sensors (Basel, Switzerland) Dec 18, 2018
The work presented in this paper is focused on the use of spectroscopy to identify the type of tissue of human brain samples employing support vector machine classifiers. Two different spectrometers were used to acquire infrared spectroscopic signatu...
Support Vector Machine Sensitivity and Specificity Spectrophotometry, Infrared Brain Neoplasms Humans
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