AIMC Topic: Support Vector Machine

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Intraoperative Diagnosis Support Tool for Serous Ovarian Tumors Based on Microarray Data Using Multicategory Machine Learning.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Jan 1, 2016
OBJECTIVES: Serous borderline ovarian tumors (SBOTs) are a subtype of serous ovarian carcinoma with atypical proliferation. Frozen-section diagnosis has been used as an intraoperative diagnosis tool in supporting the fertility-sparing surgery by diag...
RNA, Messenger Gene Expression Regulation, Neoplastic Support Vector Machine Databases, Genetic Humans Machine Learning Prognosis Female Gene Expression Profiling Survival Rate Monitoring, Intraoperative Biomarkers, Tumor Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction Ovarian Neoplasms Carcinoma, Ovarian Epithelial Predictive Value of Tests Immunoenzyme Techniques Blotting, Western Neoplasms, Glandular and Epithelial Neoplasm Staging Cystadenocarcinoma, Serous
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[Application of near infrared spectroscopy combined with particle swarm optimization based least square support vactor machine to rapid quantitative analysis of Corni Fructus].

Yao xue xue bao = Acta pharmaceutica Sinica Dec 1, 2015
A novel method was developed for the rapid determination of multi-indicators in corni fructus by means of near infrared (NIR) spectroscopy. Particle swarm optimization (PSO) based least squares support vector machine was investigated to increase the ...
Calibration Cornus Algorithms Spectroscopy, Near-Infrared Models, Theoretical Support Vector Machine Drugs, Chinese Herbal Least-Squares Analysis Fruit Quality Control Neural Networks, Computer
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In silico discovery of significant pathways in colorectal cancer metastasis using a two-stage optimisation approach.

IET systems biology Dec 1, 2015
Accurate and reliable modelling of protein-protein interaction networks for complex diseases such as colorectal cancer can help better understand mechanism of diseases and potentially discover new drugs. Different machine learning methods such as emp...
Female Colorectal Neoplasms Biomarkers, Tumor Male Humans Computer Simulation Support Vector Machine Models, Biological Neoplasm Metastasis
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Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System.

Journal of digital imaging Dec 1, 2015
Diabetic retinopathy is a major cause of vision loss in diabetic patients. Currently, there is a need for making decisions using intelligent computer algorithms when screening a large volume of data. This paper presents an expert decision-making syst...
Diabetic Retinopathy Algorithms Reproducibility of Results Sensitivity and Specificity Humans Exudates and Transudates Photography Fundus Oculi Expert Systems Image Interpretation, Computer-Assisted ROC Curve Pattern Recognition, Automated Support Vector Machine Color
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Discrimination of Maize Haploid Seeds from Hybrid Seeds Using Vis Spectroscopy and Support Vector Machine Method.

Guang pu xue yu guang pu fen xi = Guang pu Nov 1, 2015
Doubled haploid (DH) lines are routinely applied in the hybrid maize breeding programs of many institutes and companies for their advantages of complete homozygosity and short breeding cycle length. A key issue in this approach is an efficient screen...
Support Vector Machine Spectrum Analysis Breeding Seeds Haploidy Principal Component Analysis Color Zea mays
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[Construction of early warning model of influenza-like illness in Zhejiang Province based on support vector machine].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Nov 1, 2015
OBJECTIVE: To construct a forecasting model of influenza-like illness in Zhejiang Province.
Influenza, Human Sentinel Surveillance Forecasting China Support Vector Machine Humans
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Gait Analysis Using a Support Vector Machine for Lumbar Spinal Stenosis.

Orthopedics Nov 1, 2015
Lumbar spinal canal stenosis (LSS) is diagnosed based on physical examination and radiological documentation of lumbar spinal canal narrowing. Differential diagnosis of the level of lumbar radiculopathy is difficult in multilevel spinal stenosis. The...
Aged Aged, 80 and over Male Middle Aged Case-Control Studies Support Vector Machine Ankle Joint Lumbar Vertebrae Humans Knee Joint Walking Female Gait Spinal Stenosis Radiculopathy
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Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Nov 1, 2015
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.
Linear Models Multivariate Analysis Decision Trees Heart Arrest Young Adult Predictive Value of Tests Infant Area Under Curve Adolescent Humans Child, Preschool Child Neural Networks, Computer Intensive Care Units, Pediatric Retrospective Studies ROC Curve Support Vector Machine
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Protein-protein interaction site prediction in Homo sapiens and E. coli using an interaction-affinity based membership function in fuzzy SVM.

Journal of biosciences Oct 1, 2015
Protein-protein interaction (PPI) site prediction aids to ascertain the interface residues that participate in interaction processes. Fuzzy support vector machine (F-SVM) is proposed as an effective method to solve this problem, and we have shown tha...
Gene Expression Escherichia coli Proteins Protein Interaction Mapping Escherichia coli Protein Interaction Domains and Motifs Fuzzy Logic Databases, Protein Area Under Curve Humans Sensitivity and Specificity Support Vector Machine
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Semi-supervised prediction of gene regulatory networks using machine learning algorithms.

Journal of biosciences Oct 1, 2015
Use of computational methods to predict gene regulatory networks (GRNs) from gene expression data is a challenging task. Many studies have been conducted using unsupervised methods to fulfill the task; however, such methods usually yield low predicti...
Gene Expression Regulation, Bacterial Gene Expression Regulation, Fungal Saccharomyces cerevisiae Proteins Escherichia coli Datasets as Topic Gene Regulatory Networks Escherichia coli Proteins Computational Biology Saccharomyces cerevisiae Transcription Factors Support Vector Machine
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