AIMC Topic: Support Vector Machine

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Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning.

Photodiagnosis and photodynamic therapy May 19, 2018
This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Raman spectroscopy combined with pattern recognition technique. In total, 119 confirmed samples of HBV infected sera, collected from Pakistan Atomic Ener...
Image Processing, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Spectrum Analysis, Raman Diagnostic Errors Support Vector Machine Serum Hepatitis B Humans Algorithms
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Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.

Biometrics May 18, 2018
Clinicians often make multiple treatment decisions at key points over the course of a patient's disease. A dynamic treatment regime is a sequence of decision rules, each mapping a patient's observed history to the set of available, feasible treatment...
Humans Algorithms Decision Support Techniques Biometry Leukemia Computer Simulation Acute Disease Support Vector Machine Outcome Assessment, Health Care Randomized Controlled Trials as Topic Survival Analysis
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Prediction of Moisture Content for Congou Black Tea Withering Leaves Using Image Features and Nonlinear Method.

Scientific reports May 18, 2018
Withering is the first step in the processing of congou black tea. With respect to the deficiency of traditional water content detection methods, a machine vision based NDT (Non Destructive Testing) method was established to detect the moisture conte...
Water Tea Least-Squares Analysis Color Support Vector Machine Plant Leaves Camellia sinensis
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Assessing ADHD symptoms in children and adults: evaluating the role of objective measures.

Behavioral and brain functions : BBF May 18, 2018
BACKGROUND: Diagnostic guidelines recommend using a variety of methods to assess and diagnose ADHD. Applying subjective measures always incorporates risks such as informant biases or large differences between ratings obtained from diverse sources. Fu...
Neuropsychological Tests Symptom Assessment Attention Deficit Disorder with Hyperactivity Middle Aged Child Support Vector Machine Humans Adult
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Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine May 16, 2018
PURPOSE: Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classificatio...
Glioblastoma Image Interpretation, Computer-Assisted Central Nervous System Neoplasms Contrast Media Humans Magnetic Resonance Imaging Machine Learning Support Vector Machine Diagnosis, Differential Retrospective Studies Lymphoma ROC Curve
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DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC.

Journal of theoretical biology May 16, 2018
A DNA-binding protein (DNA-BP) is a protein that can bind and interact with a DNA. Identification of DNA-BPs using experimental methods is expensive as well as time consuming. As such, fast and accurate computational methods are sought for predicting...
Algorithms Reproducibility of Results Protein Domains Amino Acids DNA-Binding Proteins Databases, Protein Computational Biology DNA Support Vector Machine Models, Molecular Amino Acid Sequence Nucleic Acid Conformation
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Sequentially distant but structurally similar proteins exhibit fold specific patterns based on their biophysical properties.

Computational biology and chemistry May 16, 2018
The Three-dimensional structure of a protein depends on the interaction between their amino acid residues. These interactions are in turn influenced by various biophysical properties of the amino acids. There are several examples of proteins that sha...
Protein Conformation Protein Folding Proteins Models, Molecular Support Vector Machine Bayes Theorem
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Harnessing the evolutionary information on oxygen binding proteins through Support Vector Machines based modules.

BMC research notes May 11, 2018
OBJECTIVES: The arrival of free oxygen on the globe, aerobic life is becoming possible. However, it has become very clear that the oxygen binding proteins are widespread in the biosphere and are found in all groups of organisms, including prokaryotes...
Biological Evolution Hemeproteins Hemocyanins Support Vector Machine Carrier Proteins Oxygen Hemerythrin Animals
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Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers.

Artificial intelligence in medicine May 10, 2018
OBJECTIVE: Death certificates are an invaluable source of cancer mortality statistics. However, this value can only be realised if accurate, quantitative data can be extracted from certificates-an aim hampered by both the volume and variable quality ...
Cause of Death Registries Data Mining Neoplasms Support Vector Machine Natural Language Processing Death Certificates Data Accuracy Rare Diseases New South Wales Humans Databases, Factual Reproducibility of Results
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A machine learning model with human cognitive biases capable of learning from small and biased datasets.

Scientific reports May 9, 2018
Human learners can generalize a new concept from a small number of samples. In contrast, conventional machine learning methods require large amounts of data to address the same types of problems. Humans have cognitive biases that promote fast learnin...
Machine Learning Cognition Support Vector Machine Humans Neural Networks, Computer
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