AIMC Topic: Support Vector Machine

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Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease.

Scientific reports May 8, 2018
In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clinical, demographic and neuroimaging data from two independent initiatives (University of Michigan and Tel Aviv Sourasky Medical Center). Using machine l...
Neuroimaging Gait Disorders, Neurologic Middle Aged Accidental Falls Logistic Models Models, Theoretical Support Vector Machine Parkinson Disease Postural Balance Gait Machine Learning Humans Female Aged Male
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Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.

Human brain mapping May 7, 2018
Different modalities such as structural MRI, FDG-PET, and CSF have complementary information, which is likely to be very useful for diagnosis of AD and MCI. Therefore, it is possible to develop a more effective and accurate AD/MCI automatic diagnosis...
Alzheimer Disease Positron-Emission Tomography Aged, 80 and over Male Middle Aged Deep Learning Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential Algorithms Databases, Factual Female Aged Humans
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Quantitative analysis of glycated albumin in serum based on ATR-FTIR spectrum combined with SiPLS and SVM.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 7, 2018
A rapid quantitative analysis model for determining the glycated albumin (GA) content based on Attenuated total reflectance (ATR)-Fourier transform infrared spectroscopy (FTIR) combining with linear SiPLS and nonlinear SVM has been developed. Firstly...
Glycated Serum Albumin Linear Models Glycation End Products, Advanced Sensitivity and Specificity Serum Albumin Support Vector Machine Spectroscopy, Fourier Transform Infrared Least-Squares Analysis Humans Reproducibility of Results
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Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

Computer methods and programs in biomedicine May 4, 2018
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospit...
Deep Learning Support Vector Machine Bayes Theorem Medicine, Chinese Traditional Computer Simulation Information Storage and Retrieval Models, Statistical Humans Electronic Health Records Algorithms Clinical Decision-Making
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A fresh look at functional link neural network for motor imagery-based brain-computer interface.

Journal of neuroscience methods May 4, 2018
BACKGROUND: Artificial neural networks (ANNs) are one of the widely used classifiers in the brain-computer interface (BCI) systems-based on noninvasive electroencephalography (EEG) signals. Among the different ANN architectures, the most commonly app...
Neural Networks, Computer Brain Support Vector Machine Bayes Theorem Humans Motor Activity Imagination Electroencephalography Signal Processing, Computer-Assisted Linear Models Brain-Computer Interfaces
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Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.

Computers in biology and medicine May 4, 2018
Prenatal screening generates a great amount of data that is used for predicting risk of various disorders. Prenatal risk assessment is based on multiple clinical variables and overall performance is defined by how well the risk algorithm is optimized...
Algorithms Pregnancy Female Adult Risk Assessment ROC Curve Support Vector Machine Models, Statistical Humans Neural Networks, Computer Machine Learning Down Syndrome Prenatal Diagnosis
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Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC.

Journal of theoretical biology May 1, 2018
This study examines accurate and efficient computational method for identification of 5-methylcytosine sites in RNA modification. The occurrence of 5-methylcytosine (mC) plays a vital role in a number of biological processes. For better comprehension...
Humans Algorithms Base Sequence 5-Methylcytosine Amino Acids Amino Acid Sequence RNA Models, Theoretical High-Throughput Nucleotide Sequencing Support Vector Machine Proteins
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Lung sounds classification using convolutional neural networks.

Artificial intelligence in medicine May 1, 2018
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients with pulmonary conditions, the physician or the doctor uses the traditional auscultation technique. However, this technique suffers from limitations. For...
Deep Learning Humans Adolescent Prognosis Child Female Support Vector Machine Sound Spectrography Infant, Newborn Predictive Value of Tests Adult Pattern Recognition, Automated Reproducibility of Results Signal Processing, Computer-Assisted Male Aged Auscultation Lung Diseases Middle Aged Respiratory Sounds Acoustics Lung
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Predicting of the refractive index of haemoglobin using the Hybrid GA-SVR approach.

Computers in biology and medicine Apr 30, 2018
The optical properties of blood play crucial roles in medical diagnostics and treatment, and in the design of new medical devices. Haemoglobin is a vital constituent of the blood whose optical properties affect all of the optical properties of human ...
Databases, Factual Humans Hemoglobins Support Vector Machine Refractometry Algorithms Regression Analysis Models, Biological
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Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO.

Computational and mathematical methods in medicine Apr 29, 2018
Pulmonary nodule recognition is the core module of lung CAD. The Support Vector Machine (SVM) algorithm has been widely used in pulmonary nodule recognition, and the algorithm of Multiple Kernel Learning Support Vector Machine (MKL-SVM) has achieved ...
Support Vector Machine Humans Artificial Intelligence Lung Diseases Algorithms
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