AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 991 to 1000 of 1118 articles

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.

IEEE journal of biomedical and health informatics Mar 1, 2017
Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help prevent adverse events, improve patient outcomes, and reduce hospital costs. This paper develops a postoperative complications prediction system by extracti...
Postoperative Complications Models, Statistical Humans Cardiac Surgical Procedures Machine Learning Electronic Health Records
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Deep Learning and Insomnia: Assisting Clinicians With Their Diagnosis.

IEEE journal of biomedical and health informatics Jan 9, 2017
Effective sleep analysis is hampered by the lack of automated tools catering to disordered sleep patterns and cumbersome monitoring hardware. In this paper, we apply deep learning on a set of 57 EEG features extracted from a maximum of two EEG channe...
Sleep Initiation and Maintenance Disorders Polysomnography Sleep Stages Diagnosis, Computer-Assisted Electroencephalography Signal Processing, Computer-Assisted Humans Machine Learning Female Adult Male Middle Aged
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Deep Learning for Health Informatics.

IEEE journal of biomedical and health informatics Dec 29, 2016
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learn...
Monitoring, Ambulatory Public Health Humans Computational Biology Machine Learning Medical Informatics
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A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices.

IEEE journal of biomedical and health informatics Dec 23, 2016
The increasing popularity of wearable devices in recent years means that a diverse range of physiological and functional data can now be captured continuously for applications in sports, wellbeing, and healthcare. This wealth of information requires ...
Signal Processing, Computer-Assisted Humans Monitoring, Ambulatory Neural Networks, Computer Human Activities Machine Learning
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Intelligent Noninvasive Diagnosis of Aneuploidy: Raw Values and Highly Imbalanced Dataset.

IEEE journal of biomedical and health informatics Dec 22, 2016
The objective of this paper is to introduce a noninvasive diagnosis procedure for aneuploidy and to minimize the social and financial cost of prenatal diagnosis tests that are performed for fetal aneuploidies in an early stage of pregnancy. We propos...
Models, Statistical Aneuploidy Down Syndrome Female Prenatal Diagnosis Humans Neural Networks, Computer Ultrasonography, Prenatal Databases, Factual Machine Learning Computational Biology Biomarkers Pregnancy
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Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks.

IEEE journal of biomedical and health informatics Dec 21, 2016
This study aims to develop an automatic classifier based on deep learning for exacerbation frequency in patients with chronic obstructive pulmonary disease (COPD). A three-layer deep belief network (DBN) with two hidden layers and one visible layer w...
Humans Algorithms Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Disease Progression Deep Learning Cohort Studies Support Vector Machine
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Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models.

IEEE journal of biomedical and health informatics Dec 14, 2016
Computer simulations based on the finite element method represent powerful tools for modeling blood flow through arteries. However, due to its computational complexity, this approach may be inappropriate when results are needed quickly. In order to r...
Carotid Arteries Models, Statistical Finite Element Analysis Humans Aortic Aneurysm, Abdominal Models, Cardiovascular Machine Learning Stress, Mechanical Hemodynamics
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Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Dec 8, 2016
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double-integration approaches to extract these parameters from inertial sensor data are, however, limited in their...
Humans Neural Networks, Computer Foot Walking Gait Accelerometry Machine Learning Regression Analysis Signal Processing, Computer-Assisted
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A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series.

IEEE journal of biomedical and health informatics Dec 7, 2016
Physiological variables, such as heart rate (HR), blood pressure (BP) and respiration (RESP), are tightly regulated and coupled under healthy conditions, and a break-down in the coupling has been associated with aging and disease. We present an appro...
Aged Aged, 80 and over Young Adult Algorithms Databases, Factual Female Middle Aged Sepsis Baroreflex Adult Male Aging Humans Machine Learning Signal Processing, Computer-Assisted Critical Care Vital Signs Monitoring, Physiologic Models, Statistical Area Under Curve
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Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.

IEEE journal of biomedical and health informatics Dec 7, 2016
Automated polyp detection in colonoscopy videos has been demonstrated to be a promising way for colorectal cancer prevention and diagnosis. Traditional manual screening is time consuming, operator dependent, and error prone; hence, automated detectio...
Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Colonic Polyps Video Recording Humans Neural Networks, Computer Colonoscopy
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