AIMC Topic: Biometry

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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...
Databases, Factual Hypertension Blood Pressure Determination Humans Algorithms Hypotension Nonlinear Dynamics Biometry Blood Pressure Supervised Machine Learning Models, Statistical
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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.
Algorithms Tomography, X-Ray Computed Biometry
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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...
Precision Medicine Depressive Disorder, Major Biometry Statistics as Topic Humans Supervised Machine Learning Decision Support Techniques 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...
Neural Networks, Computer Machine Learning Algorithms Biometry Statistics as Topic
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A statistical framework for biomedical literature mining.

Statistics in medicine Jul 4, 2017
In systems biology, it is of great interest to identify new genes that were not previously reported to be associated with biological pathways related to various functions and diseases. Identification of these new pathway-modulating genes does not onl...
Monte Carlo Method Biometry Gene Ontology Markov Chains Saccharomyces cerevisiae Genes DNA Fingerprinting Reproducibility of Results Systems Biology Sphingolipids Data Mining Bayes Theorem Humans Algorithms Computer Simulation
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Modeling long-term human activeness using recurrent neural networks for biometric data.

BMC medical informatics and decision making May 18, 2017
BACKGROUND: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three ty...
Fitness Trackers Biometry Adult Exercise Young Adult Algorithms Feasibility Studies Forecasting Datasets as Topic Computer Simulation Time Factors Humans Neural Networks, Computer
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A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine.

PloS one Apr 28, 2017
The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of this study was to retrieve potential drug target proteins (DTPs) from a collected protein dataset, which represents an overwhelming task of great signif...
Molecular Targeted Therapy Biometry Support Vector Machine Proteins
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HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition.

IEEE transactions on biomedical circuits and systems Mar 1, 2017
Hierarchical Temporal Memory (HTM) is an online machine learning algorithm that emulates the neo-cortex. The development of a scalable on-chip HTM architecture is an open research area. The two core substructures of HTM are spatial pooler and tempora...
Models, Neurological Speech Recognition Software Speech Perception Facial Recognition Biometry Humans Machine Learning Algorithms
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Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers.

PloS one Dec 1, 2016
We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The proposal uses the Shannon entropy, the statistical complexity, and the Fisher information evalu...
Handwriting Support Vector Machine Information Theory Pattern Recognition, Automated Biometry Entropy Individuality Humans Software
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Flexible variable selection for recovering sparsity in nonadditive nonparametric models.

Biometrics Apr 14, 2016
Variable selection for recovering sparsity in nonadditive and nonparametric models with high-dimensional variables has been challenging. This problem becomes even more difficult due to complications in modeling unknown interaction terms among high-di...
Artificial Intelligence Statistics, Nonparametric Algorithms Models, Statistical Regression Analysis Biometry
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