AIMC Topic: Support Vector Machine

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Rapid acquisition of mean Raman spectra of eukaryotic cells for a robust single cell classification.

The Analyst Nov 14, 2016
Raman spectroscopy has previously been used to identify eukaryotic and prokaryotic cells. While prokaryotic cells are small in size and can be assessed by a single Raman spectrum, the larger size of eukaryotic cells and their complex organization req...
Spectrum Analysis, Raman Support Vector Machine Cell Line Humans Single-Cell Analysis
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Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine.

Oncotarget Nov 1, 2016
We investigated the ability of support vector machines (SVM) to analyze minimal residual disease (MRD) in flow cytometry data from patients with acute myeloid leukemia (AML) automatically, objectively and standardly. The initial disease data and MRD ...
Support Vector Machine Flow Cytometry Neoplasm, Residual Male Middle Aged Adolescent Antigens, CD7 Young Adult Adult Leukemia, Myeloid, Acute Humans Female Aged
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Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions.

Molecular bioSystems Oct 18, 2016
RNA 5-methylcytosine (mC) plays an important role in numerous biological processes. Accurate identification of the mC site is helpful for a better understanding of its biological functions. However, the drawbacks of the experimental methods available...
Epigenomics Support Vector Machine RNA Algorithms Reproducibility of Results Computational Biology Methylation Nucleic Acid Conformation 5-Methylcytosine Humans
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Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification.

Movement disorders : official journal of the Movement Disorder Society Oct 1, 2016
BACKGROUND: Clinical differentiation of parkinsonian syndromes is still challenging.
Humans Brain Support Vector Machine Cerebellar Diseases Multiple System Atrophy Supranuclear Palsy, Progressive Magnetic Resonance Imaging Parkinsonian Disorders
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DeepChrome: deep-learning for predicting gene expression from histone modifications.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: Histone modifications are among the most important factors that control gene regulation. Computational methods that predict gene expression from histone modification signals are highly desirable for understanding their combinatorial effec...
Epigenesis, Genetic Support Vector Machine Cluster Analysis Gene Expression Regulation Histone Code Neural Networks, Computer Gene Regulatory Networks Computational Biology Humans
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An approach to predict Sudden Cardiac Death (SCD) using time domain and bispectrum features from HRV signal.

Bio-medical materials and engineering Aug 12, 2016
In this paper we present a method to predict Sudden Cardiac Arrest (SCA) with higher order spectral (HOS) and linear (Time) features extracted from heart rate variability (HRV) signal. Predicting the occurrence of SCA is important in order to avoid t...
Humans Algorithms Databases, Factual Heart Rate Electrocardiography Support Vector Machine Death, Sudden, Cardiac Discriminant Analysis Signal Processing, Computer-Assisted
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[Research of Partial Least Squares Decoding Method for Motion Intent].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 1, 2016
Due to the sparsity of brain encoding,the neural ensemble signals recorded by microelectrode arrays contain a lot of noise and redundant information,which could reduce the stability and precision of decoding of motion intent.To solve this problem,we ...
Movement Brain Support Vector Machine Humans Least-Squares Analysis Electroencephalography Intention Microelectrodes
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Support vector machine classification of Parkinson's disease and essential tremor subjects based on temporal fluctuation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the realization of treatment depends on specific medication. A novel feature is d...
Essential Tremor Aged Support Vector Machine Signal Processing, Computer-Assisted Kinetics Male Humans Parkinson Disease Rest Diagnosis, Differential Female Time Factors
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Classification of squat quality with inertial measurement units in the single leg squat mobility test.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Many assessment and diagnosis protocols in rehabilitation, orthopedic surgery and sports medicine rely on mobility tests like the Single Leg Squat (SLS). In this study, a set of three Inertial Measurement Units (IMUs) were used to estimate the joint ...
Ankle Joint Leg Biomechanical Phenomena Humans Support Vector Machine Decision Trees
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Evaluation of periodic breathing in respiratory flow signal of elderly patients using SVM and linear discriminant analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The pe...
Aged Electrocardiography Signal Processing, Computer-Assisted Humans Support Vector Machine Aged, 80 and over Male Discriminant Analysis Heart Failure Female Respiratory Rate
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