Humans

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Optimizing Autoencoders for Learning Deep Representations From Health Data.

IEEE journal of biomedical and health informatics Jul 17, 2018
Analyzing patients' health data using machine learning techniques can improve both patient outcomes and hospital operations. However, heterogeneous patient data (e.g., vital signs) and inefficient feature learning methods affect the implementation of...
Machine Learning Algorithms Electronic Health Records Electroencephalography Humans Signal Processing, Computer-Assisted Medical Informatics
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Machine Learning for Better Prognostic Stratification and Driver Gene Identification Using Somatic Copy Number Variations in Anaplastic Oligodendroglioma.

The oncologist Jul 17, 2018
BACKGROUND: 1p/19q-codeleted anaplastic gliomas have variable clinical behavior. We have recently shown that the common 9p21.3 allelic loss is an independent prognostic factor in this tumor type. The aim of this study is to identify less frequent gen...
Cohort Studies DNA Copy Number Variations Oligodendroglioma Male Middle Aged Humans Machine Learning Prognosis Female
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Joint moment-matching autoencoders.

Neural networks : the official journal of the International Neural Network Society Jul 17, 2018
Image transformation between multiple domains has become a challenging problem in deep generative networks. This is because, in real-world applications, finding paired images in different domains is an expensive and impractical task. This paper propo...
Algorithms Humans Pattern Recognition, Automated Machine Learning Photic Stimulation
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An effective teeth recognition method using label tree with cascade network structure.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 17, 2018
In this article, we apply the deep learning technique to medical field for the teeth detection and classification of dental periapical radiographs, which is important for the medical curing and postmortem identification. We detect teeth in an input X...
Tooth Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Radiography, Dental
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Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.

Journal of biomedical informatics Jul 17, 2018
OBJECTIVE: Application of machine learning techniques for automatic and reliable classification of clinical documents have shown promising results. However, machine learning models require abundant training data specific to each target hospital and m...
Radiography Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Deep Learning Machine Learning Computational Biology Support Vector Machine Algorithms Databases, Factual
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A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds.

Journal of chemical information and modeling Jul 17, 2018
HIV resistance emerging against antiretroviral drugs represents a great threat to the continued prolongation of the lifespans of HIV-infected patients. Therefore, methods capable of predicting resistance susceptibility in the development of compounds...
Drug Discovery HIV Infections Bayes Theorem Humans Machine Learning Drug Resistance, Viral HIV Reverse Transcriptase Point Mutation Models, Biological HIV-1 Reverse Transcriptase Inhibitors
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Much ado about robotic versus open radical prostatectomy.

The Lancet. Oncology Jul 17, 2018
Prostatectomy Humans Male Robotics Laparoscopy Robotic Surgical Procedures Prostate
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Classification of ADHD with bi-objective optimization.

Journal of biomedical informatics Jul 17, 2018
Attention Deficit Hyperactive Disorder (ADHD) is one of the most common diseases in school aged children. In this paper, we consider using fMRI data with classification techniques to aid the diagnosis of ADHD and propose a bi-objective ADHD classific...
Humans Algorithms Magnetic Resonance Imaging Decision Making Models, Statistical Brain Mapping Medical Informatics Attention Deficit Disorder with Hyperactivity Databases, Factual Child Reproducibility of Results Image Processing, Computer-Assisted Support Vector Machine
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Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor.

Sensors (Basel, Switzerland) Jul 17, 2018
This paper proposes a noninvasive dual optical photoplethysmography (PPG) sensor to classify the degree of arteriovenous fistula (AVF) stenosis in hemodialysis (HD) patients. Dual PPG measurement node (DPMN) becomes the primary tool in this work for ...
Humans Neural Networks, Computer Algorithms Female Constriction, Pathologic Arteriovenous Fistula Male Aged Middle Aged Aged, 80 and over Photoplethysmography
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Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.

IEEE journal of biomedical and health informatics Jul 16, 2018
Optical coherence tomography (OCT) is a high-resolution and noninvasive imaging modality that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal layer segmentation is very crucial for doctors to diagnose and study retin...
Algorithms Deep Learning Decision Trees Humans Retinal Diseases Tomography, Optical Coherence Retina Image Interpretation, Computer-Assisted
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