AIMC Topic: Humans

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Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.

JMIR mHealth and uHealth Jun 6, 2019
BACKGROUND: Wearable devices have evolved as screening tools for atrial fibrillation (AF). A photoplethysmographic (PPG) AF detection algorithm was developed and applied to a convenient smartphone-based device with good accuracy. However, patients wi...
Seoul Deep Learning Photoplethysmography Electrocardiography Prospective Studies Sensitivity and Specificity Atrial Fibrillation Female Male Reproducibility of Results Middle Aged Aged Humans Algorithms
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A Non-Invasive Continuous Blood Pressure Estimation Approach Based on Machine Learning.

Sensors (Basel, Switzerland) Jun 6, 2019
Considering the existing issues of traditional blood pressure (BP) measurement methods and non-invasive continuous BP measurement techniques, this study aims to establish the systolic BP and diastolic BP estimation models based on machine learning us...
Algorithms Hypertension Photoplethysmography Blood Pressure Determination Blood Pressure Pulse Wave Analysis Humans Machine Learning
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Model of a Support Vector Machine to Assess the Functional Cure for Surgery of Intermittent Exotropia.

Scientific reports Jun 6, 2019
In this paper the optimum timing for the postoperative functional cure of basic intermittent exotropia is explored based on support vector machine (SVM). One hundred and thirty-two patients were recruited in this prospective cross-sectional study wit...
Young Adult Adult Cross-Sectional Studies Male Prospective Studies Female Reproducibility of Results Support Vector Machine Follow-Up Studies Regression Analysis Visual Acuity Adolescent Child, Preschool Child Treatment Outcome Humans Postoperative Period Exotropia
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Rapid energy expenditure estimation for ankle assisted and inclined loaded walking.

Journal of neuroengineering and rehabilitation Jun 6, 2019
BACKGROUND: Estimating energy expenditure with indirect calorimetry requires expensive equipment and several minutes of data collection for each condition of interest. While several methods estimate energy expenditure using correlation to data from w...
Electromyography Walking Energy Metabolism Ankle Joint Exoskeleton Device Neural Networks, Computer Humans Female Adult Male
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Deep convolutional neural networks for mammography: advances, challenges and applications.

BMC bioinformatics Jun 6, 2019
BACKGROUND: The limitations of traditional computer-aided detection (CAD) systems for mammography, the extreme importance of early detection of breast cancer and the high impact of the false diagnosis of patients drive researchers to investigate deep...
Humans Neural Networks, Computer Surveys and Questionnaires Image Processing, Computer-Assisted Mammography Publications Databases, Factual Female Breast Neoplasms Deep Learning
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[Artificial Intelligence in Endoscopy: Deep Neural Nets for Endoscopic Computer Vision - Methods & Perspectives].

Zeitschrift fur Gastroenterologie Jun 6, 2019
Artificial neural networks, as a specific approach towards artificial intelligence (AI), can open up a variety of new perspectives for endoscopy, such as automated lesion detection and the precise prediction of a lesion's histology by its endoscopic ...
Deep Learning Image Processing, Computer-Assisted Artificial Intelligence Humans Medicine Neural Networks, Computer Endoscopy
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Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.

PloS one Jun 6, 2019
We have attempted to reproduce the results in Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs, published in JAMA 2016; 316(22), using publicly available data sets. We re-impl...
Image Processing, Computer-Assisted Fundus Oculi Female Humans Fluorescein Angiography Male Diabetic Retinopathy Deep Learning Databases, Factual India
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Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.

PloS one Jun 6, 2019
OBJECTIVE: Suicide in adolescents is a major problem worldwide and previous history of suicide ideation and attempt represents the strongest predictors of future suicidal behavior. The aim of this study was to develop prediction model to identify Kor...
Suicide Humans Multivariate Analysis Machine Learning Risk Factors ROC Curve Republic of Korea Male Logistic Models Female Adolescent Models, Theoretical
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Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis.

IEEE transactions on cybernetics Jun 5, 2019
Deep multitask learning for face analysis has received increasing attentions. From literature, most existing methods focus on optimizing a main task by jointly learning several auxiliary tasks. It is challenging to consider the performance of each ta...
Humans Machine Learning Databases, Factual Female Infant, Newborn Aged Male Child, Preschool Face Aged, 80 and over Middle Aged Biometric Identification Child Young Adult Infant Image Processing, Computer-Assisted Adult Adolescent Anatomic Landmarks
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Dual-domain convolutional neural networks for improving structural information in 3 T MRI.

Magnetic resonance imaging Jun 5, 2019
We propose a novel dual-domain convolutional neural network framework to improve structural information of routine 3 T images. We introduce a parameter-efficient butterfly network that involves two complementary domains: a spatial domain and a freque...
Epilepsy Image Interpretation, Computer-Assisted Algorithms Brain Magnetic Resonance Imaging Humans Neural Networks, Computer
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