AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 881 to 890 of 1118 articles

Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors.

IEEE journal of biomedical and health informatics Feb 1, 2019
The irregularity detection of daily behaviors for the elderly is an important issue in homecare. Plenty of mechanisms have been developed to detect the health condition of the elderly based on the explicit irregularity of several biomedical parameter...
Humans Algorithms Unsupervised Machine Learning Human Activities Home Care Services Databases, Factual Aged Monitoring, Physiologic
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Deep Learning: Current and Emerging Applications in Medicine and Technology.

IEEE journal of biomedical and health informatics Jan 23, 2019
Machine learning is enabling researchers to analyze and understand increasingly complex physical and biological phenomena in traditional fields such as biology, medicine, and engineering and emerging fields like synthetic biology, automated chemical ...
Deep Learning Humans Computational Biology Nanomedicine Robotics Drug Design Image Interpretation, Computer-Assisted Drug Discovery Biotechnology
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Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.

IEEE journal of biomedical and health informatics Jan 23, 2019
This paper presents a novel method for hierarchical analysis of machine learning algorithms to improve predictions of at risk patients, thus further enabling prompt therapy. Specifically, we develop a multi-layer machine learning approach to analyze ...
Models, Statistical Sepsis Predictive Value of Tests Big Data Early Diagnosis Humans Systemic Inflammatory Response Syndrome Machine Learning Diagnosis, Computer-Assisted
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Deep Convolutional Neural Networks for Heart Sound Segmentation.

IEEE journal of biomedical and health informatics Jan 21, 2019
This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is inspired by similar appr...
Heart Sounds Phonocardiography Databases, Factual Humans Signal Processing, Computer-Assisted Neural Networks, Computer Markov Chains Algorithms
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Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework.

IEEE journal of biomedical and health informatics Jan 9, 2019
The accumulating evidences regarding circular RNAs (circRNAs) indicate that they play crucial roles in a wide range of biological processes and participate in tumorigenesis and progression. The number of newly discovered circRNAs have increased drama...
RNA, Circular Machine Learning Algorithms Neoplasms Computational Biology Area Under Curve Coronary Artery Disease Humans
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Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.

IEEE journal of biomedical and health informatics Jan 9, 2019
Accurate and automatic organ segmentation is critical for computer-aided analysis towards clinical decision support and treatment planning. State-of-the-art approaches have achieved remarkable segmentation accuracy on large organs, such as the liver ...
Algorithms Tomography, X-Ray Computed Fuzzy Logic Humans Neural Networks, Computer Gallbladder Image Interpretation, Computer-Assisted Pancreas Adrenal Glands
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An Ensemble Model With Clustering Assumption for Warfarin Dose Prediction in Chinese Patients.

IEEE journal of biomedical and health informatics Jan 7, 2019
The prediction of daily stable warfarin dosage for a specific patient is difficult. To improve the predictive accuracy and to build a highly accurate predictive model, we developed an ensemble learning method, called evolutionary fuzzy c-mean (EFCM) ...
Humans Neural Networks, Computer Cluster Analysis Models, Statistical Warfarin Algorithms China Fuzzy Logic
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Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.

IEEE journal of biomedical and health informatics Jan 1, 2019
Automated tissue classification is an essential step for quantitative analysis and treatment of emphysema. Although many studies have been conducted in this area, there still remain two major challenges. First, different emphysematous tissue appears ...
Image Interpretation, Computer-Assisted Lung Deep Learning Pulmonary Emphysema Humans Aged Algorithms Adult Tomography, X-Ray Computed Middle Aged
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Measuring Oxygen Saturation With Smartphone Cameras Using Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Dec 17, 2018
Arterial oxygen saturation ([Formula: see text]) is an indicator of how much oxygen is carried by hemoglobin in the blood. Having enough oxygen is vital for the functioning of cells in the human body. Measurement of [Formula: see text] is typically e...
Oximetry Adolescent Oxygen Humans Breath Holding Smartphone Young Adult Equipment Design Mobile Applications Adult Signal Processing, Computer-Assisted Male Neural Networks, Computer Female
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A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.

IEEE journal of biomedical and health informatics Dec 17, 2018
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG...
Diabetes Mellitus, Type 1 Machine Learning Blood Glucose Self-Monitoring Algorithms Insulin Infusion Systems Precision Medicine Computer Simulation Male Humans Female Adult Blood Glucose Insulin
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