AIMC Topic: Support Vector Machine

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Prediction of Orthosteric and Allosteric Regulations on Cannabinoid Receptors Using Supervised Machine Learning Classifiers.

Molecular pharmaceutics May 3, 2019
Designing highly selective compounds to protein subtypes and developing allosteric modulators targeting them are critical considerations to both drug discovery and mechanism studies for cannabinoid receptors. It is challenging but in demand to have c...
Animals Support Vector Machine Receptors, Cannabinoid Allosteric Regulation Humans Machine Learning Algorithms
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A Novel Internet of Things Framework Integrated with Real Time Monitoring for Intelligent Healthcare Environment.

Journal of medical systems May 3, 2019
During mammogram screening, there is a higher probability that detection of cancers is missed, and more than 16 percentage of breast cancer is not detected by radiologists. This problem can be solved by employing image processing algorithms which enh...
Algorithms Breast Neoplasms Diagnosis, Computer-Assisted Mammography Bayes Theorem Image Processing, Computer-Assisted Humans Support Vector Machine Neural Networks, Computer
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Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.

EBioMedicine May 3, 2019
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH from routinely available variables by using support vector machine (SVM) metho...
Male Middle Aged ROC Curve Image Processing, Computer-Assisted Support Vector Machine Cerebral Hemorrhage Young Adult Adult Sensitivity and Specificity Female Aged Aged, 80 and over Biomarkers Glasgow Coma Scale Models, Biological Prognosis Humans Hematoma Retrospective Studies Odds Ratio Tomography, X-Ray Computed
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Prediction of zinc-binding sites using multiple sequence profiles and machine learning methods.

Molecular omics May 2, 2019
The zinc (Zn) cofactor has been proven to be involved in numerous biological mechanisms and the zinc-binding site is recognized as one of the most important post-translation modifications in proteins. Therefore, accurate knowledge of zinc ions in pro...
Machine Learning Software Protein Binding Computational Biology Support Vector Machine Databases, Protein Algorithms Computer Simulation Zinc Protein Folding Amino Acid Sequence Protein Conformation Binding Sites
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Analysis of Expression Pattern of snoRNAs in Different Cancer Types with Machine Learning Algorithms.

International journal of molecular sciences May 2, 2019
Small nucleolar RNAs (snoRNAs) are a new type of functional small RNAs involved in the chemical modifications of rRNAs, tRNAs, and small nuclear RNAs. It is reported that they play important roles in tumorigenesis via various regulatory modes. snoRNA...
Monte Carlo Method RNA, Small Nucleolar Neoplasms Gene Expression Regulation, Neoplastic Support Vector Machine Humans Machine Learning Algorithms
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Exploring the Potential of Spherical Harmonics and PCVM for Compounds Activity Prediction.

International journal of molecular sciences May 2, 2019
Biologically active chemical compounds may provide remedies for several diseases. Meanwhile, Machine Learning techniques applied to Drug Discovery, which are cheaper and faster than wet-lab experiments, have the capability to more effectively identif...
Receptors, G-Protein-Coupled Drug Discovery Support Vector Machine Databases, Protein Humans Machine Learning Algorithms Animals
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Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases.

Health information management : journal of the Health Information Management Association of Australia May 1, 2019
BACKGROUND: The All Patient-Refined Diagnosis-Related Groups (APR-DRGs) system has adjusted the basic DRG structure by incorporating four severity of illness (SOI) levels, which are used for determining hospital payment. A comprehensive report of all...
Portugal Diagnosis-Related Groups Hospital Charges Quality Control Data Accuracy Respiratory Tract Diseases Sensitivity and Specificity Humans Male Female Comorbidity Cardiovascular Diseases Severity of Illness Index Support Vector Machine
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MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites.

BMC bioinformatics May 1, 2019
BACKGROUND: Transcription factors (TFs) play important roles in the regulation of gene expression. They can activate or block transcription of downstream genes in a manner of binding to specific genomic sequences. Therefore, motif discovery of these ...
Protein Binding Transcription Factors Support Vector Machine Humans Binding Sites Algorithms Nucleotide Motifs
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Automatic segmentation of Sperm's parts in microscopic images of human semen smears using concatenated learning approaches.

Computers in biology and medicine Apr 30, 2019
Accurate segmentation of the sperms in microscopic semen smear images is a prerequisite step in automatic sperm morphology analysis. It is a challenging task due to the non-uniform distribution of light in semen smear images, low contrast between spe...
Neural Networks, Computer Humans Microscopy Support Vector Machine Male Semen Analysis Image Processing, Computer-Assisted Spermatozoa
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Sparse support vector machines with L approximation for ultra-high dimensional omics data.

Artificial intelligence in medicine Apr 30, 2019
Omics data usually have ultra-high dimension (p) and small sample size (n). Standard support vector machines (SVMs), which minimize the L norm for the primal variables, only lead to sparse solutions for the dual variables. L based SVMs, directly mini...
Gene Expression Metagenomics Humans Artificial Intelligence Support Vector Machine
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