AIMC Topic: Biometry

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Tuning model parameters in class-imbalanced learning with precision-recall curve.

Biometrical journal. Biometrische Zeitschrift Dec 12, 2018
An issue for class-imbalanced learning is what assessment metric should be employed. So far, precision-recall curve (PRC) as a metric is rarely used in practice as compared with its alternative of receiver operating characteristic (ROC). This study i...
Humans Brain Injuries, Traumatic Models, Statistical Colonic Neoplasms Biometry Machine Learning ROC Curve Support Vector Machine
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A comparison of deep networks with ReLU activation function and linear spline-type methods.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2018
Deep neural networks (DNNs) generate much richer function spaces than shallow networks. Since the function spaces induced by shallow networks have several approximation theoretic drawbacks, this explains, however, not necessarily the success of deep ...
Machine Learning Biometry Humans Neural Networks, Computer
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Machine-learning-based automatic identification of fetal abdominal circumference from ultrasound images.

Physiological measurement Oct 22, 2018
OBJECTIVE: Obstetricians mainly use ultrasound imaging for fetal biometric measurements. However, such measurements are cumbersome. Hence, there is urgent need for automatic biometric estimation. Automated analysis of ultrasound images is complicated...
Biometry Pregnancy Female Ultrasonography, Prenatal Abdomen Humans Image Interpretation, Computer-Assisted Machine Learning Pattern Recognition, Automated
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An Associative Memory Approach to Healthcare Monitoring and Decision Making.

Sensors (Basel, Switzerland) Aug 16, 2018
The rapid proliferation of connectivity, availability of ubiquitous computing, miniaturization of sensors and communication technology, have changed healthcare in all its areas, creating the well-known healthcare paradigm of e-Health. In this paper, ...
Coronary Artery Disease Datasets as Topic Biometry Machine Learning Algorithms Clinical Decision-Making Female Sensitivity and Specificity Male Humans
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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...
Humans Neural Networks, Computer Female Wearable Electronic Devices Confidentiality Gait Young Adult Adult Male Wireless Technology Computer Security Biometry Computer Communication Networks
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EEG-Based Biometrics: Challenges And Applications.

Computational intelligence and neuroscience Jun 7, 2018
Biometric Identification Biometry Humans Artificial Intelligence Electroencephalography
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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...
Biometry Leukemia Acute Disease Outcome Assessment, Health Care Survival Analysis Humans Algorithms Decision Support Techniques Computer Simulation Support Vector Machine Randomized Controlled Trials as Topic
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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.
Pregnancy Female Reproducibility of Results Adult Ultrasonography, Prenatal Robotics Humans Prospective Studies Fetus Placenta Biometry Feasibility Studies Amniotic Fluid Cross-Over 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...
Mobile Applications Data Collection Biometry Biomarkers Humans User-Computer Interface Machine Learning Smartphone Algorithms
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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...
Occupational Diseases Biometry Fatigue Ankle Machine Learning Algorithms Female Middle Aged Humans Wearable Electronic Devices Adult Gait Biomechanical Phenomena Male
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