AIMC Topic: Humans

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Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.

Journal of cardiovascular electrophysiology Mar 10, 2019
OBJECTIVES: We sought to validate a deep learning algorithm designed to predict an ejection fraction (EF) less than or equal to 35% based on the 12-lead electrocardiogram (ECG) in a large prospective cohort.
Male Ventricular Function, Left Stroke Volume Echocardiography Reproducibility of Results Aged Aged, 80 and over Predictive Value of Tests Signal Processing, Computer-Assisted Heart Rate Ventricular Dysfunction, Left Middle Aged Diagnosis, Computer-Assisted Deep Learning Electrocardiography Humans Prospective Studies Prognosis Female
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A survey on literature based discovery approaches in biomedical domain.

Journal of biomedical informatics Mar 9, 2019
Literature Based Discovery (LBD) refers to the problem of inferring new and interesting knowledge by logically connecting independent fragments of information units through explicit or implicit means. This area of research, which incorporates techniq...
Data Mining Knowledge Discovery Humans Surveys and Questionnaires Natural Language Processing
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Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies.

International journal of computer assisted radiology and surgery Mar 9, 2019
PURPOSE: Dual-energy X-ray absorptiometry (DEXA) studies are used for screening patients for low bone mineral density (BMD). Patients with breast and prostate cancer are often treated with hormone-altering drugs that result in low BMD. These patients...
Spinal Neoplasms Absorptiometry, Photon Osteoblastoma ROC Curve Support Vector Machine Lumbar Vertebrae Neoplasm Metastasis Male Middle Aged Pilot Projects Humans Retrospective Studies Tomography, X-Ray Computed Female Aged
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LDA Ensembles for Interactive Exploration and Categorization of Behaviors.

IEEE transactions on visualization and computer graphics Mar 8, 2019
We define behavior as a set of actions performed by some actor during a period of time. We consider the problem of analyzing a large collection of behaviors by multiple actors, more specifically, identifying typical behaviors and spotting anomalous b...
Humans Machine Learning Algorithms Behavior User-Computer Interface Models, Statistical Natural Language Processing Computer Graphics
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Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network.

Clinical rheumatology Mar 8, 2019
INTRODUCTION: Plain hand radiographs are the first-line and most commonly used imaging methods for diagnosis or differential diagnosis of rheumatoid arthritis (RA) and for monitoring disease activity. In this study, we used plain hand radiographs and...
Hand Humans Neural Networks, Computer Sensitivity and Specificity Arthritis, Rheumatoid Radiography
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Fuzzy DEA-based classifier and its applications in healthcare management.

Health care management science Mar 8, 2019
Nonlinear fuzzy classification models have better classification performance than linear fuzzy classifiers. In many nonlinear fuzzy classification problems, piecewise-linear fuzzy discriminant functions can approximate nonlinear fuzzy discriminant fu...
Humans Artificial Intelligence Machine Learning Models, Statistical Myocardial Infarction Data Mining Nonlinear Dynamics Male Algorithms Decision Support Systems, Clinical Female Fuzzy Logic Breast Neoplasms Decision Making
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Emotional arousal amplifies competitions across goal-relevant representation: A neurocomputational framework.

Cognition Mar 8, 2019
Emotional arousal often facilitates memory for some aspects of an event while impairing memory for other aspects of the same event. Across three experiments, we found that emotional arousal amplifies competition among goal-relevant representations, s...
Humans Neural Networks, Computer Female Young Adult Adult Male Facial Recognition Pattern Recognition, Visual Conditioning, Classical Emotions Models, Biological Norepinephrine Attention Memory, Short-Term Goals Memory
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Regression convolutional neural network for improved simultaneous EMG control.

Journal of neural engineering Mar 8, 2019
OBJECTIVE: Deep learning models can learn representations of data that extract useful information in order to perform prediction without feature engineering. In this paper, an electromyography (EMG) control scheme with a regression convolutional neur...
Machine Learning Female Adult Male Humans Neural Networks, Computer Movement Regression Analysis Electromyography Motion Random Allocation
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Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks.

Artificial intelligence in medicine Mar 8, 2019
The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming. It is expected to spread as an epidemic by 2030. Present methods of determining the health of one's heart include doppler based echocardiogram, MDCT ...
Adult Hemodynamics Humans Male Image Processing, Computer-Assisted Neural Networks, Computer Echocardiography Cardiography, Impedance Female Middle Aged
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Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.

Computer methods and programs in biomedicine Mar 8, 2019
BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment...
Angiogenesis Inhibitors Humans Models, Statistical Neovascularization, Pathologic Neoplasms Machine Learning Medical Informatics Probability Time Factors Algorithms Endothelial Cells Immunotherapy Markov Chains Computer Simulation Blood Vessels
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