AIMC Topic: Support Vector Machine

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An improved support vector machine-based diabetic readmission prediction.

Computer methods and programs in biomedicine Oct 12, 2018
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a large proportion of total hospital payment. Hospital-specific readmission rate becomes a critical issue around the world. Quantification and early ident...
Reproducibility of Results Risk Factors Sensitivity and Specificity Humans Male Neural Networks, Computer Decision Trees Algorithms Bayes Theorem Risk Assessment Female Patient Discharge Decision Support Systems, Clinical Patient Readmission Logistic Models Support Vector Machine
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Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance.

Journal of sports sciences Oct 11, 2018
Objective assessment of an athlete's performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual ...
Deep Learning Support Vector Machine Athletic Performance Time and Motion Studies Sports Movement Humans Machine Learning
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Effective DNA binding protein prediction by using key features via Chou's general PseAAC.

Journal of theoretical biology Oct 11, 2018
DNA-binding proteins (DBPs) are responsible for several cellular functions, starting from our immunity system to the transport of oxygen. In the recent studies, scientists have used supervised machine learning based methods that use information from ...
Algorithms Reproducibility of Results DNA-Binding Proteins ROC Curve Amino Acid Sequence Computational Biology Support Vector Machine
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Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Oct 6, 2018
Swallowing is a complex process that involves sequential voluntary and involuntary muscle contractions. Malfunctioning of swallowing related muscles could lead to dysphagia. However, there is a lack of standardized and non-invasive methods that suppo...
Support Vector Machine Electromyography Mouth Pharynx Signal-To-Noise Ratio Deglutition Aged, 80 and over Adult Male Middle Aged Humans Female Aged
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relSCAN - A system for extracting chemical-induced disease relation from biomedical literature.

Journal of biomedical informatics Oct 6, 2018
This paper proposes an effective and robust approach for Chemical-Induced Disease (CID) relation extraction from PubMed articles. The study was performed on the Chemical Disease Relation (CDR) task of BioCreative V track-3 corpus. The proposed system...
Random Allocation Disease Chemically-Induced Disorders Algorithms Regression Analysis Support Vector Machine Publications Decision Making Data Mining Medical Informatics Humans Machine Learning
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Incorporating EBO-HSIC with SVM for Gene Selection Associated with Cervical Cancer Classification.

Journal of medical systems Oct 6, 2018
Microarray technology is utilized by the biologists, in order to compute the expression levels of thousands of genes. Cervical cancer classification utilizing gene expression data depends upon conventional supervised learning methods, wherein only la...
Fuzzy Logic Gene Expression Oligonucleotide Array Sequence Analysis Humans Algorithms Female Uterine Cervical Neoplasms Support Vector Machine
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Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients.

JAMA network open Oct 5, 2018
IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse events in large patient populations. Events are often described in clinical notes, rather than structured data, which make them difficult to identify o...
Sensitivity and Specificity Electronic Health Records Support Vector Machine Humans Male Female Natural Language Processing Middle Aged Machine Learning Aged Hemorrhage ROC Curve Critical Illness Aged, 80 and over
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Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records.

Journal of biomedical informatics Oct 4, 2018
Relation extraction between medical concepts from electronic medical records has pervasive applications as well as significance. However, previous researches utilizing machine learning algorithms judge the semantic types of medical concept pair menti...
Humans Algorithms Electronic Health Records Reproducibility of Results Regression Analysis Probability Medical Informatics Deep Learning China Support Vector Machine Models, Statistical
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Skin surface lipid differences in sensitive skin caused by psychological stress and distinguished by support vector machine.

Journal of cosmetic dermatology Oct 2, 2018
BACKGROUND: Sensitive skin refers to skin that tends to be highly responsive to stimuli such as physical, chemical, and psychological. Psychological factors play an important role in the pathology of sensitive skin.
Humans Skin Chromatography, High Pressure Liquid Stress, Psychological Tandem Mass Spectrometry Female Hyperesthesia Support Vector Machine Young Adult Permeability Lipids Adult Discriminant Analysis
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Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.

European radiology Oct 2, 2018
OBJECTIVE: We aimed to identify optimal machine-learning methods for preoperative differentiation of sacral chordoma (SC) and sacral giant cell tumour (SGCT) based on 3D non-enhanced computed tomography (CT) and CT-enhanced (CTE) features.
Male Middle Aged ROC Curve Imaging, Three-Dimensional Tomography, X-Ray Computed Female Adult Spinal Neoplasms Giant Cell Tumors Sacrum Chordoma Support Vector Machine Diagnosis, Differential Image Interpretation, Computer-Assisted Linear Models Humans Machine Learning Retrospective Studies
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