AIMC Topic: Male

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Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Oct 6, 2018
Swallowing is a complex process that involves sequential voluntary and involuntary muscle contractions. Malfunctioning of swallowing related muscles could lead to dysphagia. However, there is a lack of standardized and non-invasive methods that suppo...
Humans Female Aged Aged, 80 and over Adult Male Middle Aged Support Vector Machine Signal-To-Noise Ratio Electromyography Deglutition Mouth Pharynx
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Automated segmentation of en face choroidal images obtained by optical coherent tomography by machine learning.

Japanese journal of ophthalmology Oct 6, 2018
PURPOSE: To develop an automated method to segment the choroidal layers of en face optical coherent tomography (OCT) images by machine learning.
Choroid Tomography, Optical Coherence Healthy Volunteers Retinal Pigment Epithelium Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Humans Cross-Sectional Studies Machine Learning Male Prospective Studies Middle Aged Imaging, Three-Dimensional
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A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.

Computer methods and programs in biomedicine Oct 5, 2018
BACKGROUND AND OBJECTIVE: Cancer has become a complex health problem due to its high mortality. Over the past few decades, with the rapid development of the high-throughput sequencing technology and the application of various machine learning methods...
Supervised Machine Learning RNA Pattern Recognition, Automated False Positive Reactions Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Reproducibility of Results Stomach Neoplasms Breast Neoplasms Male Humans Software Algorithms Female
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Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients.

JAMA network open Oct 5, 2018
IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse events in large patient populations. Events are often described in clinical notes, rather than structured data, which make them difficult to identify o...
Electronic Health Records Female Hemorrhage Aged Male Humans Aged, 80 and over Machine Learning Middle Aged Sensitivity and Specificity Critical Illness ROC Curve Support Vector Machine Natural Language Processing
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Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.

Scientific reports Oct 5, 2018
Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. Using unsupervised machine-learning, implemented as emergent s...
Female Young Adult Adult Male Middle Aged Humans Machine Learning Biomarkers Lipids Bayes Theorem Multiple Sclerosis
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In vitro and in vivo resistance of Lactobacillus rhamnosus GG carried by a mixed pineapple (Ananas comosus L. Merril) and jussara (Euterpe edulis Martius) juice to the gastrointestinal tract.

Food research international (Ottawa, Ont.) Oct 4, 2018
This study evaluated the viability of Lactobacillus rhamnosus GG (LGG) and its in vitro and in vivo resistance to the gastrointestinal tract (GIT) when carried by a mixed fermented pineapple and jussara juice. The effects of product ingestion on the ...
Probiotics Fruit and Vegetable Juices Kidney Anthocyanins Antioxidants Fermented Foods Animals Colony Count, Microbial Rats, Wistar Gastrointestinal Tract Fatty Acids Male Lacticaseibacillus rhamnosus Rats Ananas Hydroxybenzoates Feces Liver Euterpe Microbial Viability
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Self-debriefing Model Based on an Integrated Video-Capture System: An Efficient Solution to Skill Degradation.

Journal of surgical education Oct 4, 2018
OBJECTIVE: Video-based teaching is considered highly effective in debriefing, especially in minimally invasive surgeries. In this study, the benefits of using a new integrated video recording system, were investigated and compared to those of the sta...
Self-Assessment Diagnostic Self Evaluation Clinical Competence Virtual Reality Educational Measurement Smartphone Models, Theoretical Robotics Laparoscopy Video Recording Internship and Residency Simulation Training Humans Female Young Adult Adult Male
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Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods.

Scientific reports Oct 4, 2018
We investigated whether machine learning methods could potentially identify a subgroup of persons with autism spectrum disorder (ASD) who show vitamin B6 responsiveness by selected phenotype variables. We analyzed the existing data from our intervent...
Phenotype Autism Spectrum Disorder Female Male Child Humans Machine Learning Cluster Analysis Principal Component Analysis Amino Acids Vitamin B 6
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Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography.

Journal of gastroenterology Oct 3, 2018
BACKGROUND: Deep learning has become a new trend of image recognition tasks in the field of medicine. We developed an automated gastritis detection system using double-contrast upper gastrointestinal barium X-ray radiography.
Humans Neural Networks, Computer Deep Learning Radiography Retrospective Studies Gastritis Female False Negative Reactions Sensitivity and Specificity Barium Male Middle Aged
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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Fluorodeoxyglucose F18 Mediastinum Hodgkin Disease Positron Emission Tomography Computed Tomography Radiopharmaceuticals Lymphoma, Non-Hodgkin Image Interpretation, Computer-Assisted Automation Aged Humans Middle Aged Aged, 80 and over Neural Networks, Computer Young Adult Adolescent Retrospective Studies Adult Treatment Outcome Female Male Liver Reproducibility of Results Predictive Value of Tests
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