AIMC Topic: Support Vector Machine

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Exploring Alternative Strategies for the Identification of Potent Compounds Using Support Vector Machine and Regression Modeling.

Journal of chemical information and modeling Dec 14, 2018
Support vector regression (SVR) is a premier approach for the prediction of compound potency. Given the conceptual link between support vector machine (SVM) and SVR modeling, SVR is capable of accounting for continuous and discontinuous structure-act...
Quantitative Structure-Activity Relationship Support Vector Machine Regression Analysis Drug Evaluation, Preclinical
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MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods.

Proteomics. Clinical applications Dec 14, 2018
PURPOSE: Precise histological classification of epithelial ovarian cancer (EOC) has immanent diagnostic and therapeutic consequences, but remains challenging in histological routine. The aim of this pilot study is to examine the potential of matrix-a...
Middle Aged Proteomics Support Vector Machine Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Humans Ovarian Neoplasms Machine Learning Molecular Imaging Discriminant Analysis Female Tissue Array Analysis Carcinoma, Ovarian Epithelial Linear Energy Transfer
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A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.

International journal of neural systems Dec 13, 2018
Although much research has been undertaken, the spatial patterns, developmental course, and sexual dimorphism of brain structure associated with autism remains enigmatic. One of the difficulties in investigating differences between the sexes in autis...
Adult Magnetic Resonance Imaging Male Humans Databases, Factual Autistic Disorder Support Vector Machine Machine Learning Female Phenotype Young Adult
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An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.

Human brain mapping Dec 13, 2018
Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggested to complement the methods of anatomo-behavioural approaches in cognitive neuroscience. Several studies applied and validated support vector regress...
Behavior Models, Neurological Brain Mapping Bias Humans Image Processing, Computer-Assisted Stroke Algorithms Support Vector Machine Brain Diseases Magnetic Resonance Imaging Cerebrovascular Circulation
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Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework.

Computational intelligence and neuroscience Dec 13, 2018
Fusing multichannel neurophysiological signals to recognize human emotion states becomes increasingly attractive. The conventional methods ignore the complementarity between time domain characteristics, frequency domain characteristics, and time-freq...
Humans Algorithms Deep Learning Support Vector Machine Emotions Electroencephalography Arousal
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Tuning model parameters in class-imbalanced learning with precision-recall curve.

Biometrical journal. Biometrische Zeitschrift Dec 12, 2018
An issue for class-imbalanced learning is what assessment metric should be employed. So far, precision-recall curve (PRC) as a metric is rarely used in practice as compared with its alternative of receiver operating characteristic (ROC). This study i...
Models, Statistical Colonic Neoplasms Biometry ROC Curve Support Vector Machine Brain Injuries, Traumatic Humans Machine Learning
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Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine.

Journal of theoretical biology Dec 8, 2018
At present, the study of gene expression data provides a reference for tumor diagnosis at the molecular level. It is a challenging task to select the feature genes related to the classification from the high-dimensional and small-sample gene expressi...
Neoplasms Gene Expression Profiling Support Vector Machine Humans Software Datasets as Topic Oligonucleotide Array Sequence Analysis
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Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning.

JAMA network open Dec 7, 2018
IMPORTANCE: Despite data aggregation and removal of protected health information, there is concern that deidentified physical activity (PA) data collected from wearable devices can be reidentified. Organizations collecting or distributing such data s...
Biometric Identification Computer Security Fitness Trackers Young Adult Feasibility Studies Machine Learning Adult Humans Medical Informatics Databases, Factual Child Male Accelerometry Middle Aged Female Support Vector Machine Exercise Confidentiality Adolescent
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An automated pipeline for analyzing medication event reports in clinical settings.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medicatio...
Neural Networks, Computer Machine Learning Patient Safety Support Vector Machine Humans Risk Management Drug-Related Side Effects and Adverse Reactions
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Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.

IEEE journal of biomedical and health informatics Dec 6, 2018
Our goal is data-driven discovery of features for text simplification. In this paper, we investigate three types of lexical chains: exact, synonymous, and semantic. A lexical chain links semantically related words in a document. We examine their pote...
Logistic Models Support Vector Machine Decision Trees Databases, Factual Semantics Consumer Health Information Natural Language Processing Bayes Theorem Medical Informatics
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