AIMC Topic: Support Vector Machine

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Support vector machine-based model for toxicity of organic compounds against fish.

Regulatory toxicology and pharmacology : RTP Apr 30, 2021
Predicting the toxicity of chemicals to various fish species through chemometric approach is crucial for ecotoxicological assessment of existing as well as not yet synthesized chemicals. This paper reports a quantitative structure-activity/toxicity r...
Algorithms Animals Fishes Quantitative Structure-Activity Relationship Ecotoxicology Organic Chemicals Support Vector Machine Water Pollutants, Chemical
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Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

Scientific reports Apr 30, 2021
We investigated the differential spatial covariance pattern of blood oxygen level-dependent (BOLD) responses to single-task and multitask functional magnetic resonance imaging (fMRI) between patients with psychophysiological insomnia (PI) and healthy...
Case-Control Studies Support Vector Machine Adult Magnetic Resonance Imaging Humans Male Sleep Initiation and Maintenance Disorders Brain Middle Aged Polysomnography Female Psychophysiologic Disorders
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Construction data mining methods in the prediction of death in hemodialysis patients using support vector machine, neural network, logistic regression and decision tree.

Journal of preventive medicine and hygiene Apr 29, 2021
OBJECTIVES: Chronic kidney disease (CKD) is one of the main causes of morbidity and mortality worldwide. Detecting survival modifiable factors could help in prioritizing the clinical care and offers a treatment decision-making for hemodialysis patien...
Support Vector Machine Regression Analysis Decision Trees Data Mining Renal Dialysis Logistic Models Renal Insufficiency, Chronic Humans Neural Networks, Computer
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Improved Discrimination of Disease States Using Proteomics Data with the Updated Aristotle Classifier.

Journal of proteome research Apr 28, 2021
Mass spectrometry data sets from omics studies are an optimal information source for discriminating patients with disease and identifying biomarkers. Thousands of proteins or endogenous metabolites can be queried in each analysis, spanning several or...
Biomarkers Proteomics Support Vector Machine Humans Machine Learning Algorithms
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Diagnosis of Alzheimer's Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN).

Computational and mathematical methods in medicine Apr 27, 2021
The automatic diagnosis of Alzheimer's disease plays an important role in human health, especially in its early stage. Because it is a neurodegenerative condition, Alzheimer's disease seems to have a long incubation period. Therefore, it is essential...
Support Vector Machine Deep Learning Early Diagnosis Discriminant Analysis Magnetic Resonance Imaging Mental Status and Dementia Tests Functional Neuroimaging Alzheimer Disease Decision Trees Computational Biology Image Interpretation, Computer-Assisted Databases, Factual Brain Severity of Illness Index Humans Neural Networks, Computer Algorithms
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RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction.

F1000Research Apr 26, 2021
Non-coding RNAs (ncRNAs) are important players in the cellular regulation of organisms from different kingdoms. One of the key steps in ncRNAs research is the ability to distinguish coding/non-coding sequences. We applied seven machine learning algor...
Support Vector Machine Machine Learning Bayes Theorem Algorithms RNA
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Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach.

Computers in biology and medicine Apr 25, 2021
The brain electrical activity, recorded and materialized as electroencephalogram (EEG) signals, is known to be very useful in the diagnosis of brain-related pathology. However, manual examination of these EEG signals has various limitations, includin...
Head Deep Learning Support Vector Machine Electroencephalography Humans Neural Networks, Computer
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A deep neural network-based approach for prediction of mutagenicity of compounds.

Environmental science and pollution research international Apr 24, 2021
We are exposed to various chemical compounds present in the environment, cosmetics, and drugs almost every day. Mutagenicity is a valuable property that plays a significant role in establishing a chemical compound's safety. Exposure and handling of m...
Animals Neural Networks, Computer Support Vector Machine Machine Learning Mutagens Reproducibility of Results
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An Ensemble Learning-Based Method for Inferring Drug-Target Interactions Combining Protein Sequences and Drug Fingerprints.

BioMed research international Apr 24, 2021
Identifying the interactions of the drug-target is central to the cognate areas including drug discovery and drug reposition. Although the high-throughput biotechnologies have made tremendous progress, the indispensable clinical trials remain to be e...
Amino Acid Sequence Position-Specific Scoring Matrices Machine Learning Drug Discovery Support Vector Machine Computational Biology Databases, Protein Drug Interactions
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Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble.

Computational and mathematical methods in medicine Apr 24, 2021
Ensemble learning combines multiple learners to perform combinatorial learning, which has advantages of good flexibility and higher generalization performance. To achieve higher quality cancer classification, in this study, the fast correlation-based...
Humans Neural Networks, Computer Machine Learning Algorithms Support Vector Machine ROC Curve Bayes Theorem Female Oligonucleotide Array Sequence Analysis Databases, Genetic Computational Biology Male Oncogenes Gene Expression Regulation, Neoplastic Neoplasms Decision Trees
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