AIMC Topic: Machine Learning

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Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by multilayer perceptron neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Natural gait consists of synchronous and rhythmic patterns for both the lower and upper limb. People with hemiplegia can experience reduced arm swing, which can negatively impact the quality of gait. Wearable and wireless sensors, such as through a s...
Paresis Equipment Design Internet Gait Reproducibility of Results Arm Smartphone Mobile Applications Monitoring, Ambulatory Hemiplegia Humans Neural Networks, Computer Machine Learning
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The effects of deep network topology on mortality prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attenti...
Odds Ratio Mortality Machine Learning Algorithms Electronic Health Records Humans Female Neural Networks, Computer Reproducibility of Results Male Logistic Models Models, Statistical Regression Analysis Natural Language Processing
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Identification of promising research directions using machine learning aided medical literature analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of promising research directions. We presen...
Machine Learning Research Publications Humans
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A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy...
Humans Neural Networks, Computer Machine Learning Support Vector Machine Decision Trees Algorithms Hospitals Radiology, Interventional Appointments and Schedules X-Rays Pattern Recognition, Automated Hospital Information Systems
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Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting "abnormality" using 3 one-...
Probability Area Under Curve Biological Specimen Banks Arrhythmias, Cardiac Electrocardiography Regression Analysis Blood Pressure Machine Learning Databases, Factual Reproducibility of Results China Cohort Studies Humans Cardiovascular Diseases Risk Assessment
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A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Head CT scan is more often used to evaluate patients with suspected traumatic brain injury (TBI). However, the use of head CT scans in evaluating TBI is costly with low value endeavor. In this paper, we propose a new algorithm and a set of features t...
Unnecessary Procedures Canada Brain Injuries, Traumatic Brain Injuries Humans Machine Learning Algorithms Tomography, X-Ray Computed Sensitivity and Specificity
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Model-based assistance-as-needed for robotic movement therapy after stroke.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This paper extends an adaptive control approach for robotic movement therapy that learns deficiencies in a patient's neuromuscular output and assists accordingly. In this method, adaptation is based on trajectory tracking error and a model of unimpai...
Robotics Arm Physical Therapy Modalities Humans Stroke Rehabilitation Machine Learning Models, Theoretical
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A deep bag-of-features model for the classification of melanomas in dermoscopy images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the fi...
Humans Neural Networks, Computer Skin Neoplasms Dermoscopy ROC Curve Image Processing, Computer-Assisted Machine Learning Databases, Factual Melanoma
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Automatic and continuous assessment of ERPs for mismatch negativity detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Accurate and fast detection of event related potential (ERP) components is an unresolved issue in neuroscience and critical health care. Mismatch negativity (MMN) is a component of the ERP to an odd stimulus in a sequence of identical stimuli which h...
Evoked Potentials Healthy Volunteers Acoustic Stimulation Evoked Potentials, Auditory Humans Machine Learning Electroencephalography
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High-accuracy user identification using EEG biometrics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We analyze brain waves acquired through a consumer-grade EEG device to investigate its capabilities for user identification and authentication. First, we show the statistical significance of the P300 component in event-related potential (ERP) data fr...
Biometric Identification Evoked Potentials Humans Event-Related Potentials, P300 Neural Networks, Computer Electroencephalography Brain Machine Learning Equipment Design Logistic Models Algorithms Signal Processing, Computer-Assisted
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