AIMC Topic: Support Vector Machine

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Developing Machine Learning Models for Behavioral Coding.

Journal of pediatric psychology Apr 1, 2019
OBJECTIVE: The goal of this research is to develop a machine learning supervised classification model to automatically code clinical encounter transcripts using a behavioral code scheme.
Female Reproducibility of Results Communication Male Humans Machine Learning Motivational Interviewing Behavioral Research Professional-Patient Relations Qualitative Research Adolescent Support Vector Machine
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Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image.

Journal of digital imaging Apr 1, 2019
Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. A quick and preliminary diagnosis of bone cancer begins with the analysis of bone X-ray or MRI image. Compared to MRI, an X-ray image provides a low-c...
X-Rays Neoplasm Grading Bone Neoplasms Radiographic Image Interpretation, Computer-Assisted Neoplasm Staging Humans Support Vector Machine Magnetic Resonance Imaging
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The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease.

Neuroinformatics Apr 1, 2019
A crucial quest in neuroimaging is the discovery of image features (biomarkers) associated with neurodegenerative disorders. Recent works show that such biomarkers can be obtained by image analysis techniques. However, these techniques cannot be dire...
Brain Alzheimer Disease Female Male Positron-Emission Tomography Aged Support Vector Machine Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Databases, Factual Neuroimaging
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TKRD: Trusted kernel rootkit detection for cybersecurity of VMs based on machine learning and memory forensic analysis.

Mathematical biosciences and engineering : MBE Mar 26, 2019
The promotion of cloud computing makes the virtual machine (VM) increasingly a target of malware attacks in cybersecurity such as those by kernel rootkits. Memory forensic, which observes the malicious tracks from the memory aspect, is a useful way f...
Computer Security Cloud Computing Area Under Curve Machine Learning Bayes Theorem False Positive Reactions Support Vector Machine Decision Making Algorithms Computers
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Identification of hormone binding proteins based on machine learning methods.

Mathematical biosciences and engineering : MBE Mar 22, 2019
The soluble carrier hormone binding protein (HBP) plays an important role in the growth of human and other animals. HBP can also selectively and non-covalently interact with hormone. Therefore, accurate identification of HBP is an important prerequis...
Databases, Protein Amino Acids Hormones Computational Biology Support Vector Machine Carrier Proteins Analysis of Variance Machine Learning Software Algorithms Animals Peptides Computer Simulation Reproducibility of Results Humans
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Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.

Applied optics Feb 10, 2019
In breast cancer, 20%-30% of cases require a second surgery because of incomplete excision of malignant tissues. Therefore, to avoid the risk of recurrence, accurate detection of the cancer margin by the clinician or surgeons needs some assistance. I...
Humans Reproducibility of Results Machine Learning Carcinoma, Ductal, Breast Algorithms Breast Neoplasms Image Processing, Computer-Assisted Support Vector Machine Female Tomography, Optical Coherence
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Prediction of drug synergy score using ensemble based differential evolution.

IET systems biology Feb 1, 2019
Prediction of drug synergy score is an ill-posed problem. It plays an efficient role in the medical field for inhibiting specific cancer agents. An efficient regression-based machine learning technique has an ability to minimise the drug synergy pred...
Support Vector Machine Drug Synergism Time Factors Computational Biology
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A new ensemble residual convolutional neural network for remaining useful life estimation.

Mathematical biosciences and engineering : MBE Jan 28, 2019
Remaining useful life (RUL) estimation is one of the most important component in prognostic health management (PHM) system in modern industry. It defined as the length from the current time to the end of the useful life. With the rapid development of...
Time Factors Prognosis Longevity Neural Networks, Computer Internet Learning Support Vector Machine Algorithms Linear Models Fuzzy Logic Deep Learning Computer Simulation
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An account of in silico identification tools of secreted effector proteins in bacteria and future challenges.

Briefings in bioinformatics Jan 18, 2019
Bacterial pathogens secrete numerous effector proteins via six secretion systems, type I to type VI secretion systems, to adapt to new environments or to promote virulence by bacterium-host interactions. Many computational approaches have been used i...
Host Microbial Interactions Virulence Humans Markov Chains Bacterial Secretion Systems Databases, Factual Bayes Theorem Neural Networks, Computer Computer Simulation Computational Biology Bacterial Proteins Machine Learning Support Vector Machine Models, Biological Algorithms
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A Data Mining Approach to Diagnose Cancer for Therapeutic Decision Making.

Alternative therapies in health and medicine Jan 9, 2019
BACKGROUND: With the increase in population, there is a rise in number of cancer cases starting from young children to old people. The uncommon cancers are generally sporadic and there are no pre-defined techniques/tools for the diagnosis. Identifyin...
Decision Making Humans Data Mining Neoplasms Child Support Vector Machine
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