AIMC Journal:
Computer methods and programs in biomedicine

Showing 631 to 640 of 863 articles

IMU, sEMG, or their cross-correlation and temporal similarities: Which signal features detect lateral compensatory balance reactions more accurately?

Computer methods and programs in biomedicine Aug 1, 2019
BACKGROUND AND OBJECTIVE: Falls are the leading cause of fatal and non-fatal injuries among seniors worldwide. While laboratory evidence supports the view that impaired ability to execute compensatory balance responses (CBRs) is linked to an increase...
Humans Male Adolescent Wearable Electronic Devices Machine Learning Electromyography Female Signal-To-Noise Ratio Young Adult Adult Biomechanical Phenomena
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Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram.

Computer methods and programs in biomedicine Jul 30, 2019
BACKGROUND AND OBJECTIVE: This study demonstrates deep learning approaches with an aim to find the optimal method to automatically detect sleep apnea (SA) events from an electrocardiogram (ECG) signal.
Deep Learning Electrocardiography Sleep Apnea Syndromes Automation Humans Databases, Factual
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A new machine learning technique for an accurate diagnosis of coronary artery disease.

Computer methods and programs in biomedicine Jul 24, 2019
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we de...
Humans Machine Learning Algorithms Databases, Factual Female Coronary Artery Disease Male Data Mining Diagnosis, Computer-Assisted Models, Cardiovascular Support Vector Machine
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AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification.

Computer methods and programs in biomedicine Jul 9, 2019
BACKGROUND AND OBJECTIVES: The multi-label Human Protein Atlas (HPA) classification can yield a better understanding of human diseases and help doctors to enhance the automatic analysis of biomedical images. The existing automatic protein recognition...
Microtubules Pattern Recognition, Automated Cell Nucleus False Positive Reactions Proteins Databases, Protein Microscopy, Fluorescence Microscopy Probability Humans Neural Networks, Computer Algorithms Phenotype Reproducibility of Results Image Processing, Computer-Assisted
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Scale-space approximated convolutional neural networks for retinal vessel segmentation.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation...
Area Under Curve Humans Signal Processing, Computer-Assisted Fundus Oculi Neural Networks, Computer Normal Distribution False Positive Reactions Algorithms Retinal Vessels Retinal Diseases Deep Learning ROC Curve Image Processing, Computer-Assisted
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C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Over the last two decades, DNA microarray technology has emerged as a powerful tool for early cancer detection and prevention. It helps to provide a detailed overview of disease complex microenvironment. Moreover, online ava...
Gene Expression Heuristics Oligonucleotide Array Sequence Analysis Predatory Behavior Social Behavior Algorithms Male Databases, Factual Neoplasms Computer Simulation Sensitivity and Specificity Computational Biology Female Support Vector Machine Tumor Microenvironment Reproducibility of Results Early Detection of Cancer Humans Biomarkers, Tumor Machine Learning Animals Software
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Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Humans Machine Learning Algorithms Computer Simulation Retrospective Studies Bayes Theorem Hypoglycemia Middle Aged Female Postprandial Period Normal Distribution Blood Glucose Reproducibility of Results Blood Glucose Self-Monitoring Insulin Adult Insulin Infusion Systems False Positive Reactions Diabetes Mellitus, Type 1 Sensitivity and Specificity Capillaries Hypoglycemic Agents Male
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Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.

Computer methods and programs in biomedicine Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
Models, Statistical Signal Processing, Computer-Assisted Telemedicine Artifacts Adult Humans Medical Informatics Sensitivity and Specificity Machine Learning Pattern Recognition, Automated Male Software False Positive Reactions Support Vector Machine Algorithms Respiratory Sounds Monitoring, Physiologic Female Reproducibility of Results
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Prediction of early colorectal cancer metastasis by machine learning using digital slide images.

Computer methods and programs in biomedicine Jun 22, 2019
BACKGROUND AND OBJECTIVES: Prediction of lymph node metastasis (LNM) for early colorectal cancer (CRC) is critical for determining treatment strategies after endoscopic resection. Some histologic parameters for predicting LNM have been established, b...
Endoscopy Colorectal Neoplasms Male Middle Aged Lymph Nodes Algorithms Retrospective Studies Female Risk Factors Aged Keratins Lymphatic Metastasis Neoplasm Metastasis Immunohistochemistry False Negative Reactions False Positive Reactions Humans Machine Learning
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Automatic segmentation of hyperreflective foci in OCT images.

Computer methods and programs in biomedicine Jun 17, 2019
BACKGROUND AND OBJECTIVE: The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT) imag...
Models, Theoretical Biomarkers Probability Retrospective Studies Area Under Curve Automation Humans Tomography, Optical Coherence Deep Learning Computer Graphics Neural Networks, Computer Vascular Endothelial Growth Factor A Decision Support Systems, Clinical Software Macular Degeneration Image Processing, Computer-Assisted Algorithms
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