AIMC Topic: Support Vector Machine

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[MicroRNA Target Prediction Based on Support Vector Machine Ensemble Classification Algorithm of Under-sampling Technique].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 1, 2016
Considering the low accuracy of prediction in the positive samples and poor overall classification effects caused by unbalanced sample data of MicroRNA (miRNA) target, we proposes a support vector machine (SVM)-integration of under-sampling and weigh...
MicroRNAs Algorithms Support Vector Machine
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[Recognition of Low Arousal Level Electroencephalogram in the Vigilance Based on Wavelet Packet Rhythm and Support Vector Machine].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 1, 2016
Poor and monotonous work could easily lead to a decrease of arousal level of the monitoring work personnel. In order to improve the performance of monitoring work, low arousal level needs to be recognized and awakened. We proposed a recognition metho...
Arousal Humans Brain Support Vector Machine Signal Processing, Computer-Assisted Electroencephalography Wavelet Analysis
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GI-SVM: A sensitive method for predicting genomic islands based on unannotated sequence of a single genome.

Journal of bioinformatics and computational biology Feb 1, 2016
Genomic islands (GIs) are clusters of functionally related genes acquired by lateral genetic transfer (LGT), and they are present in many bacterial genomes. GIs are extremely important for bacterial research, because they not only promote genome evol...
Genomic Islands Genome, Bacterial Gene Transfer, Horizontal Sequence Analysis, DNA Corynebacterium diphtheriae Pseudomonas aeruginosa Salmonella typhi Genomics Support Vector Machine
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Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Critical care medicine Feb 1, 2016
OBJECTIVE: Machine learning methods are flexible prediction algorithms that may be more accurate than conventional regression. We compared the accuracy of different techniques for detecting clinical deterioration on the wards in a large, multicenter ...
Time Factors ROC Curve Logistic Models Intensive Care Units Risk Assessment Cohort Studies Models, Statistical Survival Analysis Vital Signs Heart Arrest Socioeconomic Factors Support Vector Machine Age Factors Neural Networks, Computer Machine Learning Humans Diagnostic Techniques and Procedures
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Fractal and twin SVM-based handgrip recognition for healthy subjects and trans-radial amputees using myoelectric signal.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
Identifying functional handgrip patterns using surface electromygram (sEMG) signal recorded from amputee residual muscle is required for controlling the myoelectric prosthetic hand. In this study, we have computed the signal fractal dimension (FD) an...
Amputation Stumps Pattern Recognition, Automated Muscle Contraction Fractals Sensitivity and Specificity Electromyography Female Male Reference Values Reproducibility of Results Support Vector Machine Hand Strength Adult Humans Muscle, Skeletal Algorithms
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Characterization of Architectural Distortion in Mammograms Based on Texture Analysis Using Support Vector Machine Classifier with Clinical Evaluation.

Journal of digital imaging Feb 1, 2016
Architecture distortion (AD) is an important and early sign of breast cancer, but due to its subtlety, it is often missed on the screening mammograms. The objective of this study is to create a quantitative approach for texture classification of AD b...
Breast Neoplasms Humans Support Vector Machine Databases, Factual Algorithms Mammography Female Breast Reproducibility of Results
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A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma.

Oncotarget Jan 19, 2016
Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result of recurrence and the emergence of drug resistance. Almost all the patients were given the same platinum-based chemotherapy after debulking surgery e...
Middle Aged Antineoplastic Agents Cohort Studies Neoplasm Recurrence, Local Disease-Free Survival Support Vector Machine Humans Ovarian Neoplasms Carcinoma, Ovarian Epithelial Decision Support Techniques Response Evaluation Criteria in Solid Tumors Female Drug Resistance, Neoplasm Neoplasms, Glandular and Epithelial
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Detection of citrus canker and Huanglongbing using fluorescence imaging spectroscopy and support vector machine technique.

Applied optics Jan 10, 2016
Citrus canker and Huanglongbing (HLB) are citrus diseases that represent a serious threat to the citrus production worldwide and may cause large economic losses. In this work, we combined fluorescence imaging spectroscopy (FIS) and a machine learning...
Plant Diseases Optical Imaging Citrus Zinc Support Vector Machine Spectrometry, Fluorescence
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Extraction of actionable information from crowdsourced disaster data.

Journal of emergency management (Weston, Mass.) Jan 1, 2016
Natural disasters cause enormous damage to countries all over the world. To deal with these common problems, different activities are required for disaster management at each phase of the crisis. There are three groups of activities as follows: (1) m...
Data Collection Floods Support Vector Machine Humans Crowdsourcing Social Media Machine Learning Disasters Internet Thailand
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Structural Comparison of Gene Relevance Networks for Breast Cancer Tissues in Different Grades.

Combinatorial chemistry & high throughput screening Jan 1, 2016
BACKGROUND: The breast is an important biological system of human with two distinct states, i.e. normal and tumoral. Research on breast cancer could be based on systematic modeling to contrast the system structures of these two states.
Lipocalin-2 ErbB Receptors ras Proteins Humans Breast Neoplasms bcl-2 Homologous Antagonist-Killer Protein Genes, Neoplasm Female Gene Regulatory Networks Proto-Oncogene Proteins c-fos ZAP-70 Protein-Tyrosine Kinase Support Vector Machine
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