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Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD.

Magnetic resonance in medicine Jul 4, 2019
PURPOSE: To apply an artificial neural network (ANN) for fast and robust quantification of the oxygen extraction fraction (OEF) from a combined QSM and quantitative BOLD analysis of gradient echo data and to compare the ANN to a traditional quasi-New...
Female Adult Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Brain Computer Simulation Healthy Volunteers Gray Matter White Matter Cerebrovascular Circulation Normal Distribution Brain Mapping Oxygen Oxygen Consumption Least-Squares Analysis Positron-Emission Tomography
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Compositionally-warped Gaussian processes.

Neural networks : the official journal of the International Neural Network Society Jul 4, 2019
The Gaussian process (GP) is a nonparametric prior distribution over functions indexed by time, space, or other high-dimensional index set. The GP is a flexible model yet its limitation is given by its very nature: it can only model Gaussian marginal...
Normal Distribution Neural Networks, Computer Bayes Theorem
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Deep learning-based selection of human sperm with high DNA integrity.

Communications biology Jul 3, 2019
Despite the importance of sperm DNA to human reproduction, currently no method exists to assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled clinicians select sperm based on a variety of morphological and motility ...
Normal Distribution Learning Curve Bayes Theorem Chromatin Humans Semen Analysis DNA Fragmentation Neural Networks, Computer Spermatozoa Male Healthy Volunteers Deep Learning DNA
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Scale-space approximated convolutional neural networks for retinal vessel segmentation.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation...
Deep Learning ROC Curve Image Processing, Computer-Assisted Area Under Curve Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Fundus Oculi False Positive Reactions Retinal Diseases Normal Distribution Retinal Vessels
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Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Humans Machine Learning Algorithms Computer Simulation Retrospective Studies Bayes Theorem Hypoglycemia Postprandial Period Normal Distribution Blood Glucose Self-Monitoring Middle Aged Female False Positive Reactions Insulin Infusion Systems Blood Glucose Reproducibility of Results Capillaries Insulin Adult Diabetes Mellitus, Type 1 Sensitivity and Specificity Hypoglycemic Agents Male
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An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

Computer methods and programs in biomedicine Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Normal Distribution Heart Arrest Severity of Illness Index Case-Control Studies Sepsis Adolescent Incidence Decision Trees Monitoring, Ambulatory APACHE Multivariate Analysis Vital Signs Young Adult Adult Sensitivity and Specificity Male Middle Aged Machine Learning Algorithms Electronic Health Records Female Reproducibility of Results Humans
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A novel IRBF-RVM model for diagnosis of atrial fibrillation.

Computer methods and programs in biomedicine May 29, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is one of the common cardiovascular diseases, and electrocardiography (ECG) is a key indicator for the detection and diagnosis of AF and other heart diseases. In this study, an improved machine learn...
Humans Databases, Factual Reproducibility of Results Diagnosis, Computer-Assisted Electrocardiography Support Vector Machine Models, Statistical Bayes Theorem Normal Distribution Signal Processing, Computer-Assisted Atrial Fibrillation Data Collection Heart Diseases Probability
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A review of automated sleep stage scoring based on physiological signals for the new millennia.

Computer methods and programs in biomedicine May 2, 2019
BACKGROUND AND OBJECTIVE: Sleep is an important part of our life. That importance is highlighted by the multitude of health problems which result from sleep disorders. Detecting these sleep disorders requires an accurate interpretation of physiologic...
Electroencephalography Signal Processing, Computer-Assisted Internet Heart Rate Medical Informatics Humans Normal Distribution Algorithms Polysomnography Deep Learning Electrooculography Electrocardiography Sleep Stages
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Gaussian Process Trajectory Learning and Synthesis of Individualized Gait Motions.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 30, 2019
This paper proposes a Gaussian process-based method for trajectory learning and generation of individualized gait motions at arbitrary user-designated walking speeds, intended to be used in generating reference motions for robotic gait rehabilitation...
Normal Distribution Gait Disorders, Neurologic Markov Chains Anthropometry Joints Leg Walking Speed Middle Aged Models, Statistical Robotics Gait Healthy Volunteers Aged Humans Young Adult Algorithms Adult Female Biomechanical Phenomena Male
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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Bayes Theorem Discriminant Analysis Colonic Neoplasms Risk Normal Distribution Support Vector Machine Humans Oncogenes Machine Learning Models, Statistical Neural Networks, Computer Tissue Array Analysis Sensitivity and Specificity Regression Analysis Colon Decision Trees Gene Expression Profiling Area Under Curve Logistic Models
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