AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 771 to 780 of 1118 articles

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.

IEEE journal of biomedical and health informatics Feb 11, 2020
Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the worlds population. Most of the current seizure detection approaches strongly rely on patient history records a...
Seizures Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Electroencephalography Humans Neural Networks, Computer Brain
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Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare Through New Era of Artificial Intelligence.

IEEE journal of biomedical and health informatics Feb 10, 2020
Medicine has entered the digital era, driven by data from new modalities, especially genomics and imaging, as well as new sources such as wearables and Internet of Things. As we gain a deeper understanding of the disease biology and how diseases affe...
Humans Artificial Intelligence Sepsis Lung Neoplasms Genomics Algorithms Medical Informatics Precision Medicine Deep Learning
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QuPWM: Feature Extraction Method for Epileptic Spike Classification.

IEEE journal of biomedical and health informatics Feb 7, 2020
Epilepsy is a neurological disorder ranked as the second most serious neurological disease known to humanity, after stroke. Inter-ictal spiking is an abnormal neuronal discharge after an epileptic seizure. This abnormal activity can originate from on...
Signal Processing, Computer-Assisted Humans Sensitivity and Specificity Machine Learning Electroencephalography Algorithms Epilepsy Brain
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Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks.

IEEE journal of biomedical and health informatics Jan 31, 2020
OBJECTIVE: Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for the early diagnosis of heart diseases. While machine learning based systems can aid in automatically screening patients, the robustness of these syste...
Heart Diseases Databases, Factual Humans Heart Sounds Neural Networks, Computer Phonocardiography Sensitivity and Specificity Algorithms Signal Processing, Computer-Assisted
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Using Deep Learning in Ultrasound Imaging of Bicipital Peritendinous Effusion to Grade Inflammation Severity.

IEEE journal of biomedical and health informatics Jan 22, 2020
Inflammation of the long head of the biceps tendon is a common cause of shoulder pain. Bicipital peritendinous effusion (BPE) is the most common biceps tendon abnormality and is related to various shoulder injuries. Physicians usually use ultrasound ...
Image Interpretation, Computer-Assisted Humans Tendons Shoulder Pain Ultrasonography Shoulder Joint Neural Networks, Computer Muscular Diseases Inflammation Deep Learning Muscle, Skeletal
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Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning.

IEEE journal of biomedical and health informatics Jan 20, 2020
Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed through an overnight sleep study in a specialized sleep clinic. This setup is expensive and the number of beds and staff are limited, leading to a long waiting t...
Respiratory Rate Polysomnography Humans Deep Learning Sleep Apnea Syndromes Electric Impedance
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A Deep Neural Network Application for Improved Prediction of [Formula: see text] in Type 1 Diabetes.

IEEE journal of biomedical and health informatics Jan 17, 2020
[Formula: see text] is a primary marker of long-term average blood glucose, which is an essential measure of successful control in type 1 diabetes. Previous studies have shown that [Formula: see text] estimates can be obtained from 5-12 weeks of dail...
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Diabetes Mellitus, Type 1 Glycated Hemoglobin Female Aged Adult Humans
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Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification.

IEEE journal of biomedical and health informatics Jan 16, 2020
Existing multi-label medical image learning tasks generally contain rich relationship information among pathologies such as label co-occurrence and interdependency, which is of great importance for assisting in clinical diagnosis and can be represent...
Thorax Lung Diseases Humans Data Curation Image Interpretation, Computer-Assisted Neural Networks, Computer Databases, Factual Radiography, Thoracic
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Multi-Modal Diagnosis of Infectious Diseases in the Developing World.

IEEE journal of biomedical and health informatics Jan 9, 2020
In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with au...
Child, Preschool Photoplethysmography Electrocardiography Diagnosis, Computer-Assisted Deep Learning Wearable Electronic Devices Tetanus Vital Signs Hand, Foot and Mouth Disease Monitoring, Physiologic Models, Statistical Developing Countries Humans Algorithms Communicable Diseases Adult Infant
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Bimodal Automated Carotid Ultrasound Segmentation Using Geometrically Constrained Deep Neural Networks.

IEEE journal of biomedical and health informatics Jan 9, 2020
For asymptomatic patients suffering from carotid stenosis, the assessment of plaque morphology is an important clinical task which allows monitoring of the risk of plaque rupture and future incidents of stroke. Ultrasound Imaging provides a safe and ...
Carotid Stenosis Image Interpretation, Computer-Assisted Carotid Arteries Plaque, Atherosclerotic Humans Middle Aged Deep Learning Aged, 80 and over Ultrasonography Sensitivity and Specificity Neural Networks, Computer Aged
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