AIMC Topic: Support Vector Machine

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Automating the Identification of Patient Safety Incident Reports Using Multi-Label Classification.

Studies in health technology and informatics Jan 1, 2017
Automated identification provides an efficient way to categorize patient safety incidents. Previous studies have focused on identifying single incident types relating to a specific patient safety problem, e.g., clinical handover. In reality, there ar...
Humans Patient Safety Support Vector Machine Drug-Related Side Effects and Adverse Reactions
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First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processes.

Database : the journal of biological databases and curation Jan 1, 2017
RegulonDB, http://regulondb.ccg.unam.mx.
Databases, Bibliographic Regulon Serine Endopeptidases Transcription Factors Protein Domains Escherichia coli K12 Support Vector Machine
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Recognizing Emotional States Using Speech Information.

Advances in experimental medicine and biology Jan 1, 2017
Emotion recognition plays an important role in several applications, such as human computer interaction and understanding affective state of users in certain tasks, e.g., within a learning process, monitoring of elderly, interactive entertainment etc...
Humans Neural Networks, Computer Speech Voice Support Vector Machine Emotions
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Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network.

Journal of integrative neuroscience Jan 1, 2017
Decoding of human brain activity has always been a primary goal in neuroscience especially with functional magnetic resonance imaging (fMRI) data. In recent years, Convolutional neural network (CNN) has become a popular method for the extraction of f...
Humans Support Vector Machine Magnetic Resonance Imaging Photic Stimulation Female Visual Acuity Neural Networks, Computer Multivariate Analysis Male Linear Models Brain Neuropsychological Tests Brain Mapping
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Exploring convolutional neural networks for drug-drug interaction extraction.

Database : the journal of biological databases and curation Jan 1, 2017
Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of redu...
Electronic Data Processing Models, Theoretical Support Vector Machine Drug Interactions Data Mining Natural Language Processing Neural Networks, Computer
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Computational Methods to Predict Protein Functions from Protein-Protein Interaction Networks.

Current protein & peptide science Jan 1, 2017
Predicting functions of proteins is a key issue in the post-genomic era. Some experimental methods have been designed to predict protein functions. However, these methods cannot accommodate the vast amount of sequence data due to their inherent diffi...
Computational Biology Support Vector Machine Proteins Protein Interaction Mapping Decision Trees Neural Networks, Computer Machine Learning Humans
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Automated Classification of Semi-Structured Pathology Reports into ICD-O Using SVM in Portuguese.

Studies in health technology and informatics Jan 1, 2017
Pathology reports are a main source of information regarding cancer diagnosis and are commonly written following semi-structured templates that include tumour localisation and behaviour. In this work, we evaluated the efficiency of support vector mac...
Neoplasms Support Vector Machine Humans Brazil Registries International Classification of Diseases
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Epileptic seizure detection in EEG signal with GModPCA and support vector machine.

Bio-medical materials and engineering Jan 1, 2017
BACKGROUND AND OBJECTIVE: Epilepsy is one of the most common neurological disorders caused by recurrent seizures. Electroencephalograms (EEGs) record neural activity and can detect epilepsy. Visual inspection of an EEG signal for epileptic seizure de...
Humans Algorithms Support Vector Machine Principal Component Analysis Epilepsy Electroencephalography Signal Processing, Computer-Assisted
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Mutual information network-based support vector machine strategy identifies salivary biomarkers in gastric cancer.

Journal of B.U.ON. : official journal of the Balkan Union of Oncology Jan 1, 2017
PURPOSE: To determine the vital salivary transcriptomic biomarkers for the early detection of gastric cancer via comparing classification efficiency of multiple candidate genes.
Saliva Humans Sensitivity and Specificity Biomarkers, Tumor Stomach Neoplasms Support Vector Machine
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Features extraction and multi-classification of sEMG using a GPU-Accelerated GA/MLP hybrid algorithm.

Journal of X-ray science and technology Jan 1, 2017
BACKGROUND: Surface electromyography (sEMG) signal is the combined effect of superficial muscle EMG and neural electrical activity. In recent years, researchers did large amount of human-machine system studies by using the physiological signals as co...
Algorithms Gestures Electromyography Support Vector Machine Pattern Recognition, Automated Humans Signal Processing, Computer-Assisted Man-Machine Systems Hand
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