Humans

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A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram.

Journal of healthcare engineering Mar 7, 2018
The prevention, evaluation, and treatment of hypertension have attracted increasing attention in recent years. As photoplethysmography (PPG) technology has been widely applied to wearable sensors, the noninvasive estimation of blood pressure (BP) usi...
Critical Care Young Adult Pattern Recognition, Automated Blood Pressure Determination Adult Systole Blood Pressure Male Diastole Pulse Wave Analysis Middle Aged Female Humans Hypertension Reproducibility of Results Neural Networks, Computer Photoplethysmography Aged Databases, Factual Electrocardiography Aged, 80 and over
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Predicting urinary tract infections in the emergency department with machine learning.

PloS one Mar 7, 2018
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24-48 hours aft...
Urine False Positive Reactions Urinary Tract Infections Models, Biological Early Diagnosis False Negative Reactions Sensitivity and Specificity Predictive Value of Tests Male Area Under Curve Middle Aged Emergency Service, Hospital ROC Curve Humans Machine Learning Retrospective Studies Female
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Acral melanoma detection using a convolutional neural network for dermoscopy images.

PloS one Mar 7, 2018
BACKGROUND/PURPOSE: Acral melanoma is the most common type of melanoma in Asians, and usually results in a poor prognosis due to late diagnosis. We applied a convolutional neural network to dermoscopy images of acral melanoma and benign nevi on the h...
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Image Interpretation, Computer-Assisted Foot Humans Neural Networks, Computer Melanoma Skin Neoplasms Dermoscopy Sensitivity and Specificity Early Detection of Cancer Skin Hand
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Comorbidity Scoring with Causal Disease Networks.

IEEE/ACM transactions on computational biology and bioinformatics Mar 6, 2018
In recent years, there has been numerous studies constructing a disease network with diverse sources of data. Many researchers attempted to extend the usage of the disease network by employing machine learning algorithms on various problems such as p...
(1)
Supervised Machine Learning Risk Epidemiology Comorbidity Computational Biology Causality Models, Biological Humans Algorithms Databases, Factual
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Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring From Ballistocardiograms.

IEEE transactions on bio-medical engineering Mar 6, 2018
A multiple instance dictionary learning approach, dictionary learning using functions of multiple instances (DL-FUMI), is used to perform beat-to-beat heart rate estimation and to characterize heartbeat signatures from ballistocardiogram (BCG) signal...
Heart Rate Ballistocardiography Male Signal Processing, Computer-Assisted Supervised Machine Learning Humans Algorithms Female Young Adult Adult
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Investigating brain structural patterns in first episode psychosis and schizophrenia using MRI and a machine learning approach.

Psychiatry research. Neuroimaging Mar 6, 2018
In this study, we employed the Maximum Uncertainty Linear Discriminant Analysis (MLDA) to investigate whether the structural brain patterns in first episode psychosis (FEP) patients would be more similar to patients with chronic schizophrenia (SCZ) o...
(1)
Humans Machine Learning Schizophrenia Psychotic Disorders Pattern Recognition, Automated Neuroimaging Adult Male Middle Aged Magnetic Resonance Imaging Brain Female Young Adult
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T-wave end detection using neural networks and Support Vector Machines.

Computers in biology and medicine Mar 6, 2018
BACKGROUND AND OBJECTIVE: In this paper we propose a new approach for detecting the end of the T-wave in the electrocardiogram (ECG) using Neural Networks and Support Vector Machines.
(1)
Humans Neural Networks, Computer Algorithms Databases, Factual Electrocardiography Support Vector Machine Least-Squares Analysis Signal Processing, Computer-Assisted
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Prediction and characterization of human ageing-related proteins by using machine learning.

Scientific reports Mar 6, 2018
Ageing has a huge impact on human health and economy, but its molecular basis - regulation and mechanism - is still poorly understood. By today, more than three hundred genes (almost all of them function as protein-coding genes) have been related to ...
Humans Machine Learning Aging Gene Regulatory Networks Protein Interaction Maps Computational Biology Proteins
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Brain-specific functional relationship networks inform autism spectrum disorder gene prediction.

Translational psychiatry Mar 6, 2018
Autism spectrum disorder (ASD) is a neuropsychiatric disorder with strong evidence of genetic contribution, and increased research efforts have resulted in an ever-growing list of ASD candidate genes. However, only a fraction of the hundreds of nomin...
Humans Machine Learning Phenotype Autism Spectrum Disorder Rats Models, Genetic Databases, Genetic Genome Animals Mice Genomics Genetic Predisposition to Disease
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Deep Learning and Its Applications in Biomedicine.

Genomics, proteomics & bioinformatics Mar 6, 2018
Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, such as medical images, electroencephalography, genomic and protein sequences. Learning from these data facilitates the und...
Machine Learning Algorithms Genomics Computational Biology Proteins Humans Diagnostic Imaging Neural Networks, Computer Image Interpretation, Computer-Assisted Protein Structure, Secondary
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