AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 651 to 660 of 1116 articles

Predicting Recurrence for Patients With Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning.

IEEE journal of biomedical and health informatics Jul 27, 2021
The recurrence of Ischemic cerebrovascular events (ICE) often results in a high rate of mortality and disability. However, due to the lack of labeled follow-up data in hospitals, prediction methods using traditional machine learning are usually not a...
Machine Learning Stroke Humans Algorithms
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LPAQR-Net: Efficient Vertebra Segmentation From Biplanar Whole-Spine Radiographs.

IEEE journal of biomedical and health informatics Jul 27, 2021
Vertebra segmentation from biplanar whole-spine radiographs is highly demanded in the quantitative assessment of scoliosis and the resultant sagittal deformities. However, automatic vertebra segmentation from the radiographs is extremely challenging ...
Image Processing, Computer-Assisted Radiography Humans Spine Neural Networks, Computer Tomography, X-Ray Computed
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Platform for Healthcare Promotion and Cardiovascular Disease Prevention.

IEEE journal of biomedical and health informatics Jul 27, 2021
This article presents the hardware-software design and implementation of an open, integrated, and scalable healthcare platform oriented to multiple point-care scenarios for healthcare promotion and cardiovascular disease prevention. The platform has ...
Cardiovascular Diseases Delivery of Health Care Software Algorithms Humans Artificial Intelligence
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FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.

IEEE journal of biomedical and health informatics Jul 27, 2021
Based on the current research on EEG emotion recognition, there are some limitations, such as hand-engineered features, redundant and meaningless signal frames and the loss of frame-to-frame correlation. In this paper, a novel deep learning framework...
Neural Networks, Computer Emotions Electroencephalography Humans
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Multiple Embeddings Enhanced Multi-Graph Neural Networks for Chinese Healthcare Named Entity Recognition.

IEEE journal of biomedical and health informatics Jul 27, 2021
Named Entity Recognition (NER) is a natural language processing task for recognizing named entities in a given sentence. Chinese NER is difficult due to the lack of delimited spaces and conventional features for determining named entity boundaries an...
Humans China Natural Language Processing Delivery of Health Care Neural Networks, Computer Language
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Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.

IEEE journal of biomedical and health informatics Jul 27, 2021
Traditional sleep staging with non-overlapping 30-second epochs overlooks multiple sleep-wake transitions. We aimed to overcome this by analyzing the sleep architecture in more detail with deep learning methods and hypothesized that the traditional s...
Sleep Deprivation Sleep Stages Sleep Polysomnography Sleep Apnea, Obstructive Humans Deep Learning
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Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.

IEEE journal of biomedical and health informatics Jul 27, 2021
Recently, an emerging trend in medical image classification is to combine radiomics framework with deep learning classification network in an integrated system. Although this combination is efficient in some tasks, the deep learning-based classificat...
Research Design Image Processing, Computer-Assisted Algorithms Semantics Humans Neural Networks, Computer
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Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation.

IEEE journal of biomedical and health informatics Jul 27, 2021
Liver vessel segmentation is fast becoming a key instrument in the diagnosis and surgical planning of liver diseases. In clinical practice, liver vessels are normally manual annotated by clinicians on each slice of CT images, which is extremely labor...
Neural Networks, Computer Disease Progression Humans Liver Attention Image Processing, Computer-Assisted
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Copula-Based Data Augmentation on a Deep Learning Architecture for Cardiac Sensor Fusion.

IEEE journal of biomedical and health informatics Jul 27, 2021
In the wake of Big Data, traditional Machine Learning techniques are now often integrated in the clinical workflow. Despite more capable, Deep Learning methods are not equally accepted given their unsatiated need for great amounts of training data an...
Humans Neural Networks, Computer Machine Learning Deep Learning Bayes Theorem Artifacts
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Deep Learning for Diabetes: A Systematic Review.

IEEE journal of biomedical and health informatics Jul 27, 2021
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people worldwide. Aiming to improve the treatment of people with diabetes, digital health has been widely adopted in recent years and generated a huge amount of data that ...
Humans Deep Learning Diabetes Mellitus Artificial Intelligence Machine Learning
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