AIMC Topic:
Bayes Theorem

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Feature selection for elderly faller classification based on wearable sensors.

Journal of neuroengineering and rehabilitation May 30, 2017
BACKGROUND: Wearable sensors can be used to derive numerous gait pattern features for elderly fall risk and faller classification; however, an appropriate feature set is required to avoid high computational costs and the inclusion of irrelevant featu...
Humans Algorithms Retrospective Studies Female Accidental Falls Support Vector Machine Bayes Theorem Accelerometry Aged Adult Male
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Bayesian geodesic path for human motor control.

Neural networks : the official journal of the International Neural Network Society May 17, 2017
Despite a near-infinite number of possible movement trajectories, our body movements exhibit certain invariant features across individuals; for example, when grasping a cup, individuals choose an approximately linear path from the hand to the cup. Ba...
Bayes Theorem Hand Neural Networks, Computer Movement Humans Biomechanical Phenomena
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Driver behavior profiling: An investigation with different smartphone sensors and machine learning.

PloS one Apr 10, 2017
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving da...
Bayes Theorem Humans Behavior Automobile Driving ROC Curve Neural Networks, Computer Accelerometry Smartphone Machine Learning Area Under Curve
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Relevance popularity: A term event model based feature selection scheme for text classification.

PloS one Apr 5, 2017
Feature selection is a practical approach for improving the performance of text classification methods by optimizing the feature subsets input to classifiers. In traditional feature selection methods such as information gain and chi-square, the numbe...
Natural Language Processing Bayes Theorem Classification Models, Theoretical Language Support Vector Machine
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NegAIT: A new parser for medical text simplification using morphological, sentential and double negation.

Journal of biomedical informatics Mar 22, 2017
Many different text features influence text readability and content comprehension. Negation is commonly suggested as one such feature, but few general-purpose tools exist to discover negation and studies of the impact of negation on text readability ...
Language Natural Language Processing Bayes Theorem Data Curation Medical Informatics Comprehension Humans Software
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Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.

Artificial intelligence in medicine Mar 18, 2017
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the pred...
Humans Cranial Irradiation Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Xerostomia Time Factors Parotid Gland Head and Neck Neoplasms Radiation Injuries Early Diagnosis Machine Learning Radiation Exposure Fuzzy Logic Radiotherapy Dosage Tomography, X-Ray Computed Predictive Value of Tests Risk Factors
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Shared Consensus Machine Learning Models for Predicting Blood Stage Malaria Inhibition.

Journal of chemical information and modeling Mar 17, 2017
The development of new antimalarial therapies is essential, and lowering the barrier of entry for the screening and discovery of new lead compound classes can spur drug development at organizations that may not have large compound screening libraries...
Bayes Theorem Malaria Antimalarials Quantitative Structure-Activity Relationship Drug Discovery ROC Curve Models, Theoretical Machine Learning Temperature
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Prediction of virus-host infectious association by supervised learning methods.

BMC bioinformatics Mar 14, 2017
BACKGROUND: The study of virus-host infectious association is important for understanding the functions and dynamics of microbial communities. Both cellular and fractionated viral metagenomic data generate a large number of viral contigs with missing...
Viruses Host-Pathogen Interactions Genome, Viral Reproducibility of Results Likelihood Functions ROC Curve Bacteria DNA, Viral Logistic Models Bayes Theorem Sequence Analysis, DNA Models, Theoretical Metagenomics Support Vector Machine
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Bayesian molecular design with a chemical language model.

Journal of computer-aided molecular design Mar 9, 2017
The aim of computational molecular design is the identification of promising hypothetical molecules with a predefined set of desired properties. We address the issue of accelerating the material discovery with state-of-the-art machine learning techni...
Drug Design Molecular Structure Bayes Theorem Monte Carlo Method Software Models, Chemical Small Molecule Libraries Computer Simulation Pharmaceutical Preparations Computer-Aided Design Machine Learning
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Two-way learning with one-way supervision for gene expression data.

BMC bioinformatics Mar 4, 2017
BACKGROUND: A family of parsimonious Gaussian mixture models for the biclustering of gene expression data is introduced. Biclustering is accommodated by adopting a mixture of factor analyzers model with a binary, row-stochastic factor loadings matrix...
Male Transcriptome Rats Humans Biomarkers Animals Bayes Theorem Gene Expression Diabetes Mellitus, Experimental Supervised Machine Learning Models, Theoretical Databases, Genetic Cluster Analysis Rats, Zucker
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