AIMC Topic: Machine Learning

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AVP-IC50 Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50).

Biopolymers Nov 1, 2015
Peptide-based antiviral therapeutics has gradually paved their way into mainstream drug discovery research. Experimental determination of peptides' antiviral activity as expressed by their IC50 values involves a lot of effort. Therefore, we have deve...
Machine Learning Internet Amino Acid Sequence Inhibitory Concentration 50 Molecular Sequence Data Algorithms Peptides Antiviral Agents
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Preface.

Journal of biosciences Oct 1, 2015
Microarray Analysis Multifactor Dimensionality Reduction High-Throughput Nucleotide Sequencing Pattern Recognition, Automated Gene Expression Regulation Signal Transduction Plants Data Mining Gene Regulatory Networks Computational Biology Humans Machine Learning
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Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

Medical physics Oct 1, 2015
PURPOSE: Aims in this study are to (1) develop a computational model observer which reliably tracks the detectability of human observers in low dose computed tomography (CT) images reconstructed with knowledge-based iterative reconstruction (IMR™, Ph...
Radiation Dosage Phantoms, Imaging Image Processing, Computer-Assisted Quality Control Observer Variation Humans Machine Learning Computer Simulation Tomography, X-Ray Computed
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Blood pressure and heart rate from the arterial blood pressure waveform can reliably estimate cardiac output in a conscious sheep model of multiple hemorrhages and resuscitation using computer machine learning approaches.

The journal of trauma and acute care surgery Oct 1, 2015
BACKGROUND: This study was a first step to facilitate the development of automated decision support systems using cardiac output (CO) for combat casualty care. Such systems remain a practical challenge in battlefield and prehospital settings. In thes...
Machine Learning Animals Hemodynamics Blood Pressure Determination Disease Models, Animal Algorithms Decision Support Techniques Female Cardiac Output Sheep, Domestic Resuscitation Traumatology Military Medicine Predictive Value of Tests Hemorrhage Pulse Wave Analysis Heart Rate Arterial Pressure Calibration
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Multi-Camera Saliency.

IEEE transactions on pattern analysis and machine intelligence Oct 1, 2015
A significant body of literature on saliency modeling predicts where humans look in a single image or video. Besides the scientific goal of understanding how information is fused from multiple visual sources to identify regions of interest in a holis...
Humans Pattern Recognition, Automated Behavior Machine Learning Algorithms Image Processing, Computer-Assisted
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Automated Algorithmic Software in Echocardiography: Artificial Intelligence?

Journal of the American College of Cardiology Sep 29, 2015
Cardiovascular Diseases Ventricular Function, Left Stroke Volume Machine Learning Humans Female Image Processing, Computer-Assisted Male Echocardiography, Three-Dimensional
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Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain: The FAST-EFs Multicenter Study.

Journal of the American College of Cardiology Sep 29, 2015
BACKGROUND: Echocardiographic determination of ejection fraction (EF) by manual tracing of endocardial borders is time consuming and operator dependent, whereas visual assessment is inherently subjective.
Echocardiography, Three-Dimensional Stroke Volume Machine Learning Middle Aged Female Image Processing, Computer-Assisted Aged Humans Male Adult Cardiovascular Diseases Ventricular Function, Left
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[Fragments Woven into a Whole: A New Approach to the Diagnosis of Cancer through Mass Spectrometry and Machine-Learning].

Rinsho byori. The Japanese journal of clinical pathology Sep 1, 2015
Conventionally, a definitive diagnosis of cancer is derived from histopathological diagnostics based on morphological criteria that are difficult to standardize on a quantifiable basis. On the other hand, while molecular tumor markers and blood bioch...
Spectrometry, Mass, Electrospray Ionization Biomarkers, Tumor Humans Neoplasms Machine Learning Early Detection of Cancer Databases, Factual
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Machine Learning and Data Mining in Medical Imaging.

IEEE journal of biomedical and health informatics Sep 1, 2015
Humans Machine Learning Diagnostic Imaging Data Mining
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Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.

IEEE journal of biomedical and health informatics Sep 1, 2015
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for normal aging and disease progression. In this paper, we propose a patch-based tissue classification method from MR images that...
Humans Machine Learning Algorithms Brain Female Magnetic Resonance Imaging Multiple Sclerosis Hydrocephalus, Normal Pressure Aged Young Adult Male Adult Middle Aged Image Processing, Computer-Assisted
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