AIMC Topic: Support Vector Machine

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Automated classification of neurological disorders of gait using spatio-temporal gait parameters.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 7, 2015
OBJECTIVE: Automated pattern recognition systems have been used for accurate identification of neurological conditions as well as the evaluation of the treatment outcomes. This study aims to determine the accuracy of diagnoses of (oto-)neurological g...
Algorithms Humans Female Neural Networks, Computer Reproducibility of Results Artificial Intelligence Nervous System Diseases Male Middle Aged Aged Aged, 80 and over Time Factors Principal Component Analysis Support Vector Machine Bayes Theorem Muscle, Skeletal Gait Pattern Recognition, Automated
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Pervasive Sound Sensing: A Weakly Supervised Training Approach.

IEEE transactions on cybernetics Feb 6, 2015
Modern smartphones present an ideal device for pervasive sensing of human behavior. Microphones have the potential to reveal key information about a person's behavior. However, they have been utilized to a significantly lesser extent than other smart...
Pattern Recognition, Automated Human Activities Humans Smartphone Databases, Factual Supervised Machine Learning Support Vector Machine Sound
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Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation.

BMC systems biology Feb 6, 2015
BACKGROUND: DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. Identification of DNA-binding proteins is one of the major challenges in the field of genome...
Molecular Sequence Data Sequence Analysis, Protein Computational Biology Amino Acid Sequence Protein Conformation Internet Support Vector Machine Nucleic Acid Conformation DNA-Binding Proteins Models, Molecular
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Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.

Journal of the American Medical Informatics Association : JAMIA Feb 5, 2015
OBJECTIVE: For many literature review tasks, including systematic review (SR) and other aspects of evidence-based medicine, it is important to know whether an article describes a randomized controlled trial (RCT). Current manual annotation is not com...
Randomized Controlled Trials as Topic Review Literature as Topic Information Storage and Retrieval MEDLINE Evidence-Based Medicine Artificial Intelligence ROC Curve Support Vector Machine Humans
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Phase information of time-frequency transforms as a key feature for classification of atrial fibrillation episodes.

Physiological measurement Feb 5, 2015
Patients suffering from atrial fibrillation can be classified into different subtypes, according to the temporal pattern of the arrhythmia and its recurrence. Nowadays, clinicians cannot differentiate a priori between the different subtypes, and pati...
Middle Aged Cohort Studies ROC Curve Hypertension Aged, 80 and over Adult Sensitivity and Specificity Area Under Curve Tertiary Care Centers Atrial Fibrillation Fourier Analysis Electrocardiography Support Vector Machine Principal Component Analysis Humans Aged Cardiovascular Agents
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Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Physiological measurement Feb 5, 2015
Seizures below one minute in duration are difficult to assess correctly using seizure detection algorithms. We aimed to improve neonatal detection algorithm performance for short seizures through the use of trend templates for seizure onset and end. ...
Electroencephalography Seizures Brain Time Factors Sheep, Domestic Information Theory Signal Processing, Computer-Assisted Support Vector Machine Animals Asphyxia Fetal Hypoxia Disease Models, Animal
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A framework for final drive simultaneous failure diagnosis based on fuzzy entropy and sparse bayesian extreme learning machine.

Computational intelligence and neuroscience Feb 5, 2015
This research proposes a novel framework of final drive simultaneous failure diagnosis containing feature extraction, training paired diagnostic models, generating decision threshold, and recognizing simultaneous failure modes. In feature extraction ...
Pattern Recognition, Automated Support Vector Machine Entropy Humans Fuzzy Logic Neural Networks, Computer Bayes Theorem Artificial Intelligence
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Expert system for predicting reaction conditions: the Michael reaction case.

Journal of chemical information and modeling Feb 3, 2015
A generic chemical transformation may often be achieved under various synthetic conditions. However, for any specific reagents, only one or a few among the reported synthetic protocols may be successful. For example, Michael β-addition reactions may ...
Reproducibility of Results Support Vector Machine Predictive Value of Tests Quantitative Structure-Activity Relationship Catalysis Bayes Theorem Machine Learning Informatics Indicators and Reagents Models, Chemical Algorithms Expert Systems Chemistry, Organic Databases, Factual
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Identifying microRNAs involved in cancer pathway using support vector machines.

Computational biology and chemistry Jan 29, 2015
Since Ambros' discovery of small non-protein coding RNAs in the early 1990s, the past two decades have seen an upsurge in the number of reports of predicted microRNAs (miR), which have been implicated in various functions. The correlation of miRs wit...
Algorithms MicroRNAs Neoplastic Processes Neoplasms Gene Expression Regulation, Neoplastic Support Vector Machine
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Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine.

Journal of theoretical biology Jan 28, 2015
Polymerase chain reaction (PCR) is hailed as one of the monumental scientific techniques of the twentieth century, and has become a common and often indispensable technique in many areas. However, researchers still frequently find some DNA templates ...
Support Vector Machine Markov Chains Polymerase Chain Reaction Humans Models, Theoretical
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