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Support Vector Machine - AI Medical Compendium

AIMC Topic: Support Vector Machine

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Evidence for distinct neuro-metabolic phenotypes in humans.

NeuroImage Jan 13, 2022
Advances in magnetic resonance imaging have shown how individual differences in the structure and function of the human brain relate to health and cognition. The relationship between individual differences and the levels of neuro-metabolites, however...
Biological Variation, Population Male Support Vector Machine Gyrus Cinguli Magnetic Resonance Spectroscopy Phenotype Magnetic Resonance Imaging Humans Female Adult
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Ligand Based Virtual Screening Using Self-organizing Maps.

The protein journal Jan 13, 2022
Conventional drug discovery methods rely primarily on in-vitro experiments with a target molecule and an extensive set of small molecules to choose the suitable ligand. The exploration space for the selected ligand being huge; this approach is highly...
Support Vector Machine Ligands Algorithms Drug Discovery Neural Networks, Computer
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Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental Learning.

Computational and mathematical methods in medicine Jan 13, 2022
The diagnosis of new diseases is a challenging problem. In the early stage of the emergence of new diseases, there are few case samples; this may lead to the low accuracy of intelligent diagnosis. Because of the advantages of support vector machine (...
Computational Biology Support Vector Machine Humans Fuzzy Logic SARS-CoV-2 Artificial Intelligence COVID-19 Diagnosis, Computer-Assisted Algorithms
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Gender Identification and Classification of Flies Using Machine Learning Techniques.

Computational and mathematical methods in medicine Jan 13, 2022
is an important genetic model organism used extensively in medical and biological studies. About 61% of known human genes have a recognizable match with the genetic code of Drosophila flies, and 50% of fly protein sequences have mammalian analogues....
Sex Determination Analysis Bayes Theorem Microscopy Drosophila melanogaster Computational Biology Support Vector Machine Animals Male Machine Learning Image Processing, Computer-Assisted Female
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Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.

Journal of the American Society of Nephrology : JASN Jan 11, 2022
BACKGROUND: Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding of pediatric CKD causes. We sought to identify metabolomic signatures in pediatric CKD b...
Renal Insufficiency, Chronic Support Vector Machine Metabolomics Kidney Logistic Models Glomerulosclerosis, Focal Segmental Metabolome Metabolic Networks and Pathways Infant Adolescent Child, Preschool Child Prospective Studies Cohort Studies Female Humans Male Machine Learning
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Ensemble streamflow forecasting based on variational mode decomposition and long short term memory.

Scientific reports Jan 11, 2022
Reliable and accurate streamflow forecasting plays a vital role in the optimal management of water resources. To improve the stability and accuracy of streamflow forecasting, a hybrid decomposition-ensemble model named VMD-LSTM-GBRT, which is sensiti...
Support Vector Machine Rivers China Models, Theoretical Algorithms Forecasting Neural Networks, Computer
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A computational method for predicting nucleocapsid protein in retroviruses.

Scientific reports Jan 11, 2022
Nucleocapsid protein (NC) in the group-specific antigen (gag) of retrovirus is essential in the interactions of most retroviral gag proteins with RNAs. Computational method to predict NCs would benefit subsequent structure analysis and functional stu...
Algorithms Gene Products, gag Nucleocapsid Proteins Retroviridae Computational Biology Support Vector Machine
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A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques.

Journal of healthcare engineering Jan 11, 2022
Diabetes is a chronic disease that continues to be a significant and global concern since it affects the entire population's health. It is a metabolic disorder that leads to high blood sugar levels and many other problems such as stroke, kidney failu...
Support Vector Machine Delivery of Health Care Humans Machine Learning Diabetes Mellitus
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Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency.

IEEE transactions on cybernetics Jan 11, 2022
The original random forests (RFs) algorithm has been widely used and has achieved excellent performance for the classification and regression tasks. However, the research on the theory of RFs lags far behind its applications. In this article, to narr...
Algorithms Support Vector Machine
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Rich Structural Index for Stereoscopic Image Quality Assessment.

Sensors (Basel, Switzerland) Jan 10, 2022
The human visual system (HVS), affected by viewing distance when perceiving the stereo image information, is of great significance to study of stereoscopic image quality assessment. Many methods of stereoscopic image quality assessment do not have co...
Humans Databases, Factual Support Vector Machine Algorithms Vision, Ocular
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