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Automated retinopathy of prematurity screening using deep neural networks.

EBioMedicine Aug 27, 2018
BACKGROUND: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Automated ROP detection system is urgent and it appears to be a safe, reliable, and cost-effective complement to human experts.
Humans Neural Networks, Computer Algorithms Infant Deep Learning Birth Weight Internet Databases as Topic Automation ROC Curve Image Processing, Computer-Assisted Mass Screening Gestational Age Retinopathy of Prematurity
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Identification of a Novel Clinical Phenotype of Severe Malaria using a Network-Based Clustering Approach.

Scientific reports Aug 27, 2018
The parasite Plasmodium falciparum is the main cause of severe malaria (SM). Despite treatment with antimalarial drugs, more than 400,000 deaths are reported every year, mainly in African children. The diversity of clinical presentations associated w...
Malaria, Falciparum Child Plasmodium falciparum Malaria Anemia Male Severity of Illness Index Child, Preschool Humans Neural Networks, Computer Phenotype Biomarkers Female
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A deep convolutional neural network approach for astrocyte detection.

Scientific reports Aug 27, 2018
Astrocytes are involved in various brain pathologies including trauma, stroke, neurodegenerative disorders such as Alzheimer's and Parkinson's diseases, or chronic pain. Determining cell density in a complex tissue environment in microscopy images an...
Models, Biological Rats Area Under Curve Astrocytes Humans Machine Learning Neural Networks, Computer Software Animals Image Processing, Computer-Assisted
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Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach.

Sensors (Basel, Switzerland) Aug 27, 2018
Wearable sensors can provide detailed information on human movement but the clinical impact of this information remains limited. We propose a machine learning approach, using wearable sensor data, to identify subject-specific changes in gait patterns...
Humans Machine Learning Female Treatment Outcome Walking Gait Exercise Therapy Male Middle Aged Wearable Electronic Devices Acceleration
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Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.

Computational intelligence and neuroscience Aug 27, 2018
In spite of advances in object recognition technology, handwritten Bangla character recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten characters and excessively cursive Bangla handwritings. Even many advanc...
Machine Learning Image Processing, Computer-Assisted Humans Pattern Recognition, Automated Neural Networks, Computer Handwriting
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Skin Disease Recognition Method Based on Image Color and Texture Features.

Computational and mathematical methods in medicine Aug 26, 2018
Skin diseases have a serious impact on people's life and health. Current research proposes an efficient approach to identify singular type of skin diseases. It is necessary to develop automatic methods in order to increase the accuracy of diagnosis f...
Humans Image Processing, Computer-Assisted Support Vector Machine Skin Diseases Color
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Ethambutol-induced optic neuropathy in renal disorder: a clinico-electrophysiological study.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Aug 25, 2018
OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patients with tuberculosis and the role of visual evoked response (VER) in evaluating this disorder.
Ethambutol Adolescent Young Adult Evoked Potentials, Visual Humans Visual Acuity Follow-Up Studies Optic Nerve Diseases Adult Optic Nerve Prospective Studies Magnetic Resonance Imaging Male Kidney Failure, Chronic Female Middle Aged Antitubercular Agents
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Usability Evaluation of a Novel Robotic Power Wheelchair for Indoor and Outdoor Navigation.

Archives of physical medicine and rehabilitation Aug 25, 2018
OBJECTIVE: To compare the Mobility Enhancement roBotic (MEBot) wheelchair's capabilities with commercial electric-powered wheelchairs (EPWs) by performing a systematic usability evaluation.
Architectural Accessibility Robotics Equipment Design Environment Electric Power Supplies Aged Wheelchairs Humans Male Spatial Navigation Female Middle Aged Computer-Aided Design
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Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?

Journal of behavioral medicine Aug 25, 2018
Behavioral weight loss (WL) trials show that, on average, participants regain lost weight unless provided long-term, intensive-and thus costly-intervention. Optimization solutions have shown mixed success. The artificial intelligence principle of "re...
Aged Adult Male Middle Aged Humans Artificial Intelligence Female Text Messaging Reinforcement, Psychology Behavior Therapy Weight Reduction Programs Weight Loss Longitudinal Studies Obesity
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Predictive connectome subnetwork extraction with anatomical and connectivity priors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 25, 2018
We present a new method to identify anatomical subnetworks of the human connectome that are optimally predictive of targeted clinical variables, developmental outcomes or disease states. Given a training set of structural or functional brain networks...
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Infant, Premature Connectome Magnetic Resonance Imaging Humans Predictive Value of Tests Machine Learning Anatomic Landmarks Infant, Newborn Autistic Disorder
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