AIMC Topic: Support Vector Machine

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Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

AJNR. American journal of neuroradiology Apr 27, 2017
BACKGROUND AND PURPOSE: Accurate preoperative differentiation of primary central nervous system lymphoma and enhancing glioma is essential to avoid unnecessary neurosurgical resection in patients with primary central nervous system lymphoma. The purp...
Image Enhancement Central Nervous System Neoplasms Magnetic Resonance Imaging Diagnosis, Differential Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged Support Vector Machine Lymphoma ROC Curve Glioma Algorithms Humans Female Adult
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In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods.

Chemical research in toxicology Apr 26, 2017
Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is via effects on aromatase (also known as CYP19A1), an enzyme critical for maintaining the normal balance of estrogens and androgens in the body. Therefor...
Computer Simulation Models, Theoretical Support Vector Machine Aromatase Neural Networks, Computer Machine Learning
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Identifying N-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine.

Scientific reports Apr 25, 2017
N6-methyladenosine (mA) refers to methylation of the adenosine nucleotide acid at the nitrogen-6 position. It plays an important role in a series of biological processes, such as splicing events, mRNA exporting, nascent mRNA synthesis, nuclear transl...
Saccharomyces cerevisiae Adenosine Arabidopsis Algorithms Computational Biology RNA, Messenger Support Vector Machine Nucleotides Datasets as Topic Humans
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Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach.

Scientific reports Apr 25, 2017
Machine learning systems have recently received increased attention for their broad applications in several fields. In this study, we show for the first time that histological types of breast tumors can be classified using subtle morphological differ...
Humans Machine Learning Female Support Vector Machine Epithelial Cells Carcinoma, Intraductal, Noninfiltrating Tumor Suppressor Proteins Aged Breast Neoplasms Transcription Factors Immunohistochemistry Hyperplasia Cellular Microenvironment
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Using short-range and long-range functional connectivity to identify schizophrenia with a family-based case-control design.

Psychiatry research. Neuroimaging Apr 24, 2017
Abnormal short-range and long-range functional connectivities (FCs) have been implicated in the neurophysiology of schizophrenia. This study was conducted to examine the potential of short-range and long-range FCs for differentiating the patients fro...
Magnetic Resonance Imaging Schizophrenia Cerebellum Siblings Schizophrenic Psychology Rest Family Adult Humans Case-Control Studies Female Support Vector Machine Parietal Lobe Young Adult Temporal Lobe
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Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm.

Marine pollution bulletin Apr 23, 2017
The development of techniques for real-time monitoring of the eutrophication status of coastal waters is of great importance for realizing potential cost savings in coastal monitoring programs and providing timely advice for marine health management....
Algorithms Eutrophication Support Vector Machine Seawater
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A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson's disease.

Neuroscience letters Apr 21, 2017
Machine learning methods have been widely used in recent years for detection of neuroimaging biomarkers in regions of interest (ROIs) and assisting diagnosis of neurodegenerative diseases. The innovation of this study is to use multilevel-ROI-feature...
Biomarkers Brain Female Magnetic Resonance Imaging Middle Aged Parkinson Disease Support Vector Machine Brain Mapping Sensitivity and Specificity Male Humans Machine Learning Algorithms
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A Fast SVM-Based Tongue's Colour Classification Aided by -Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis.

Journal of healthcare engineering Apr 20, 2017
In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable ...
Medical Informatics Cluster Analysis Models, Statistical Color Light Diagnosis, Computer-Assisted Humans Image Processing, Computer-Assisted Programming Languages Algorithms Support Vector Machine Tongue Temperature
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An automatic non-invasive method for Parkinson's disease classification.

Computer methods and programs in biomedicine Apr 18, 2017
BACKGROUND AND OBJECTIVE: The automatic noninvasive identification of Parkinson's disease (PD) is attractive to clinicians and neuroscientist. Various analysis and classification approaches using spatiotemporal gait variables have been presented earl...
Parkinson Disease Gait Wavelet Analysis Humans Support Vector Machine
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Feature selection using ant colony optimization with tandem-run recruitment to diagnose bronchitis from CT scan images.

Computer methods and programs in biomedicine Apr 18, 2017
BACKGROUND AND OBJECTIVES: Computer-aided diagnosis (CAD) plays a vital role in the routine clinical activity for the detection of lung disorders using computed tomography (CT) images. It serves as a source of second opinion that radiologists may con...
Lung Diagnosis, Computer-Assisted Support Vector Machine Humans Bronchitis Algorithms Tomography, X-Ray Computed
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