AIMC Topic: Biometry

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An Artificial Neural Network Framework for Gait-Based Biometrics.

IEEE journal of biomedical and health informatics Aug 2, 2018
As the popularity of wearable and the implantable body sensor network (BSN) devices increases, there is a growing concern regarding the data security of such power-constrained miniaturized medical devices. With limited computational power, BSN device...
Adult Male Wearable Electronic Devices Neural Networks, Computer Female Young Adult Biometry Computer Communication Networks Wireless Technology Confidentiality Gait Computer Security Humans
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EEG-Based Biometrics: Challenges And Applications.

Computational intelligence and neuroscience Jun 7, 2018
Biometry Artificial Intelligence Electroencephalography Humans Biometric Identification
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Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.

Biometrics May 18, 2018
Clinicians often make multiple treatment decisions at key points over the course of a patient's disease. A dynamic treatment regime is a sequence of decision rules, each mapping a patient's observed history to the set of available, feasible treatment...
Acute Disease Computer Simulation Outcome Assessment, Health Care Biometry Support Vector Machine Survival Analysis Humans Leukemia Randomized Controlled Trials as Topic Algorithms Decision Support Techniques
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A Crossover Comparison of Standard and Telerobotic Approaches to Prenatal Sonography.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Apr 24, 2018
OBJECTIVES: To determine the feasibility of a telerobotic approach to remotely perform prenatal sonographic examinations.
Adult Ultrasonography, Prenatal Robotics Pregnancy Female Reproducibility of Results Fetus Biometry Amniotic Fluid Placenta Feasibility Studies Cross-Over Studies Humans Prospective Studies
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Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitors, and weighing scales, are essential to tracking a patient's health. Trends in these measurements can accurately track diabetes, cardiovascular issue...
Algorithms Biometry Humans Biomarkers Machine Learning Smartphone User-Computer Interface Mobile Applications Data Collection
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A machine learning approach to detect changes in gait parameters following a fatiguing occupational task.

Ergonomics Mar 2, 2018
The purpose of this study is to provide a method for classifying non-fatigued vs. fatigued states following manual material handling. A method of template matching pattern recognition for feature extraction ($1 Recognizer) along with the support vect...
Biometry Fatigue Ankle Occupational Diseases Middle Aged Wearable Electronic Devices Gait Biomechanical Phenomena Male Humans Machine Learning Algorithms Female Adult
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A functional supervised learning approach to the study of blood pressure data.

Statistics in medicine Dec 20, 2017
In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24-hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance...
Hypertension Blood Pressure Determination Models, Statistical Blood Pressure Supervised Machine Learning Hypotension Humans Algorithms Databases, Factual Nonlinear Dynamics Biometry
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Impact of statistical reconstruction and compressed sensing algorithms on projection data elimination during X-ray CT image reconstruction.

Oral radiology Dec 6, 2017
OBJECTIVES: To examine the effect of incomplete, or total elimination of, projection data on computed tomography (CT) images subjected to statistical reconstruction and/or compressed sensing algorithms.
Biometry Algorithms Tomography, X-Ray Computed
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Estimation and evaluation of linear individualized treatment rules to guarantee performance.

Biometrics Sep 28, 2017
In clinical practice, an informative and practically useful treatment rule should be simple and transparent. However, because simple rules are likely to be far from optimal, effective methods to construct such rules must guarantee performance, in ter...
Biometry Statistics as Topic Precision Medicine Humans Depressive Disorder, Major Decision Support Techniques Supervised Machine Learning Computer Simulation
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Post-boosting of classification boundary for imbalanced data using geometric mean.

Neural networks : the official journal of the International Neural Network Society Sep 14, 2017
In this paper, a novel imbalance learning method for binary classes is proposed, named as Post-Boosting of classification boundary for Imbalanced data (PBI), which can significantly improve the performance of any trained neural networks (NN) classifi...
Algorithms Biometry Statistics as Topic Neural Networks, Computer Machine Learning
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