AIMC Topic: Support Vector Machine

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Developing new VOmax prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection.

Computers in biology and medicine Oct 20, 2016
Maximal oxygen uptake (VOmax) is an essential part of health and physical fitness, and refers to the highest rate of oxygen consumption an individual can attain during exhaustive exercise. In this study, for the first time in the literature, we combi...
Support Vector Machine Models, Statistical Regression Analysis Oxygen Consumption Models, Cardiovascular Humans Surveys and Questionnaires Computational Biology
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Consistent quantitative gene product expression: #3. Invariance with age.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Oct 18, 2016
The quantitative expression of cell surface antigens and light scattering properties of five cellular reference populations in stressed bone marrow specimens were compared between pediatric and adult patients treated for acute myeloid leukemia (AML)....
Humans Leukemia, Myeloid, Acute Support Vector Machine Aged Middle Aged Flow Cytometry Adult Transcriptome Hematopoietic Stem Cells
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Consistent quantitative gene product expression: #2. Antigen intensities on bone marrow cells are invariant between individuals.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Oct 18, 2016
Five reference populations in bone marrow specimens were identified by flow cytometry using specific combinations of reagents in order define the variation of gene product expression intensities both within and between individuals. Mature lymphocytes...
Antigens, Surface Hematopoietic Stem Cells Child Support Vector Machine Male Humans Flow Cytometry Transcriptome Female Leukemia, Myeloid, Acute
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Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions.

Interdisciplinary sciences, computational life sciences Oct 13, 2016
Noncoding RNAs (ncRNAs) are implicated in various biological processes. Recent findings have demonstrated that the function of ncRNAs correlates with their provenance. Therefore, the recognition of ncRNAs from different organelle genomes will be help...
Support Vector Machine Nucleotides RNA, Untranslated Algorithms Computational Biology
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Unravelling effects of flavanols and their derivatives on acrylamide formation via support vector machine modelling.

Food chemistry Oct 13, 2016
This study investigated the effect of flavanols and their derivatives on acrylamide formation under low-moisture conditions via prediction using the support vector regression (SVR) approach. Acrylamide was generated in a potato-based equimolar aspara...
Hot Temperature Polyphenols Maillard Reaction Flavonoids Chromatography, High Pressure Liquid Support Vector Machine Antioxidants Tandem Mass Spectrometry Food Handling Dose-Response Relationship, Drug Solanum tuberosum Linear Models Asparagine Acrylamide
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Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.

Journal of voice : official journal of the Voice Foundation Oct 12, 2016
OBJECTIVES: Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which...
Diagnosis, Computer-Assisted Support Vector Machine Predictive Value of Tests Male Case-Control Studies Speech Acoustics Vocal Cord Paralysis Vocal Cords Signal Processing, Computer-Assisted Pattern Recognition, Automated Edema Humans Databases, Factual Female Voice Quality Voice Disorders Speech Production Measurement
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Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs.

IEEE/ACM transactions on computational biology and bioinformatics Oct 11, 2016
Protein-DNA interactions are ubiquitous in a wide variety of biological processes. Correctly locating DNA-binding residues solely from protein sequences is an important but challenging task for protein function annotations and drug discovery, especia...
Models, Statistical Databases, Protein DNA-Binding Proteins Computational Biology Support Vector Machine Amino Acid Sequence
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Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.

Journal of biomedical informatics Oct 11, 2016
OBJECTIVE: Text and data mining play an important role in obtaining insights from Health and Hospital Information Systems. This paper presents a text mining system for detecting admissions marked as positive for several diseases: Lung Cancer, Breast ...
Support Vector Machine Natural Language Processing Patient Compliance Data Mining Disease Hospital Records Humans Hospitalization
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Weighted Feature Gaussian Kernel SVM for Emotion Recognition.

Computational intelligence and neuroscience Oct 11, 2016
Emotion recognition with weighted feature based on facial expression is a challenging research topic and has attracted great attention in the past few years. This paper presents a novel method, utilizing subregion recognition rate to weight kernel fu...
Recognition, Psychology Support Vector Machine Humans Emotions Algorithms Pattern Recognition, Automated
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Explaining Support Vector Machines: A Color Based Nomogram.

PloS one Oct 10, 2016
PROBLEM SETTING: Support vector machines (SVMs) are very popular tools for classification, regression and other problems. Due to the large choice of kernels they can be applied with, a large variety of data can be analysed using these tools. Machine ...
Nomograms Support Vector Machine Color
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