AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 671 to 680 of 1116 articles

A Deep Learning-Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients.

IEEE journal of biomedical and health informatics Jun 3, 2021
Physicians increasingly depend on electronic health records (EHRs) to manage their patients. However, many patient records have substantial missing values that pose a fundamental challenge to their clinical use. To address this prevailing challenge, ...
Electronic Health Records Deep Learning Humans Research Design
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User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing.

IEEE journal of biomedical and health informatics Jun 3, 2021
Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give insight into myocardial motion and blood flow, providing clinicians with parameters for diagnostic decision making. Many of the...
Automation Algorithms Ultrasonography Humans Neural Networks, Computer
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DBAN: Adversarial Network With Multi-Scale Features for Cardiac MRI Segmentation.

IEEE journal of biomedical and health informatics Jun 3, 2021
With the development of medical artificial intelligence, automatic magnetic resonance image (MRI) segmentation method is quite desirable. Inspired by the power of deep neural networks, a novel deep adversarial network, dilated block adversarial netwo...
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Artificial Intelligence Heart
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A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation.

IEEE journal of biomedical and health informatics Jun 3, 2021
Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed. Som...
Signal Processing, Computer-Assisted Phonocardiography Algorithms Deep Learning Artificial Intelligence
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Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application.

IEEE journal of biomedical and health informatics Jun 3, 2021
Reinforcement learning is a powerful tool for developing personalized treatment regimens from healthcare data. Yet training reinforcement learning agents through direct interactions with patients is often impractical for ethical reasons. One solution...
Delivery of Health Care Retrospective Studies Humans Neural Networks, Computer
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Multi-Parametric Fusion of 3D Power Doppler Ultrasound for Fetal Kidney Segmentation Using Fully Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Jun 3, 2021
Kidney development is key to the long-term health of the fetus. Renal volume and vascularity assessed by 3D ultrasound (3D-US) are known markers of wellbeing, however, a lack of real-time image segmentation solutions preclude these measures being use...
Kidney Reproducibility of Results Humans Ultrasonography, Doppler Image Processing, Computer-Assisted Neural Networks, Computer
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A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video.

IEEE journal of biomedical and health informatics May 11, 2021
Sleep is a natural phenomenon controlled by the central nervous system. The sleep-wake pattern, which functions as an essential indicator of neurophysiological organization in the neonatal period, has profound meaning in the prediction of cognitive d...
China Sleep Neural Networks, Computer Humans Support Vector Machine Facial Expression Infant, Newborn
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Preterm Newborn Presence Detection in Incubator and Open Bed Using Deep Transfer Learning.

IEEE journal of biomedical and health informatics May 11, 2021
Video-based motion analysis recently appeared to be a promising approach in neonatal intensive care units for monitoring the state of preterm newborns since it is contact-less and noninvasive. However it is important to remove periods when the newbor...
Databases, Factual Infant, Newborn Humans Neural Networks, Computer Video Recording Incubators Support Vector Machine Monitoring, Physiologic
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Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19.

IEEE journal of biomedical and health informatics May 11, 2021
The coronavirus disease 2019 (COVID-19) has swept all over the world. Due to the limited detection facilities, especially in developing countries, a large number of suspected cases can only receive common clinical diagnosis rather than more effective...
Algorithms Databases, Factual Reproducibility of Results Time Factors Neural Networks, Computer COVID-19 Humans Area Under Curve COVID-19 Testing
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Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images.

IEEE journal of biomedical and health informatics May 11, 2021
Coronavirus disease 2019 (COVID-19) is one of the most destructive pandemic after millennium, forcing the world to tackle a health crisis. Automated lung infections classification using chest X-ray (CXR) images could strengthen diagnostic capability ...
SARS-CoV-2 Radiography, Thoracic Lung Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted COVID-19
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