AIMC Topic: Statistics as Topic

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Epilepsy classification using optimized artificial neural network.

Neurological research Aug 29, 2018
OBJECTIVES: An Electroencephalogram (EEG) is the result of co-operative actions performed by brain cells. In other words, it can be defined as the time course of extracellular field potentials that are generated due to the synchronous action of cells...
Humans Neural Networks, Computer Brain Electroencephalography Epilepsy Signal Processing, Computer-Assisted Sensitivity and Specificity Diagnosis, Computer-Assisted Statistics as Topic
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Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.

BMC pregnancy and childbirth Aug 15, 2018
BACKGROUND: While there is increasing interest in identifying pregnancies at risk for adverse outcome, existing prediction models have not adequately assessed population-based risks, and have been based on conventional regression methods. The objecti...
Body Mass Index Smoking Pregnancy Trimester, Second Cohort Studies Logistic Models Fetal Macrosomia Gestational Weight Gain Nova Scotia Pregnancy Fetal Development Neural Networks, Computer Female Humans Machine Learning Infant, Small for Gestational Age Statistics as Topic Young Adult Infant, Newborn Retrospective Studies Adult
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Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms.

Statistics in medicine Jul 16, 2018
With the advancement in drug development, multiple treatments are available for a single disease. Patients can often benefit from taking multiple treatments simultaneously. For example, patients in Clinical Practice Research Datalink with chronic dis...
Statistics as Topic Stochastic Processes Decision Support Techniques Precision Medicine Models, Statistical Drug Therapy, Combination Treatment Outcome Humans Machine Learning Algorithms
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Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival.

Statistics in medicine Jun 4, 2018
Random forests are a popular nonparametric tree ensemble procedure with broad applications to data analysis. While its widespread popularity stems from its prediction performance, an equally important feature is that it provides a fully nonparametric...
Random Allocation Statistics as Topic Models, Statistical Regression Analysis Machine Learning Bias Humans Data Interpretation, Statistical Confidence Intervals
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Machine learning techniques for mass spectrometry imaging data analysis and applications.

Bioanalysis Mar 21, 2018
Mass Spectrometry Humans Statistics as Topic Machine Learning
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The convergence analysis of SpikeProp algorithm with smoothing L regularization.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2018
Unlike the first and the second generation artificial neural networks, spiking neural networks (SNNs) model the human brain by incorporating not only synaptic state but also a temporal component into their operating model. However, their intrinsic pr...
Neural Networks, Computer Algorithms Breast Neoplasms Statistics as Topic Female Humans
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Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints.

Biomedical engineering online Feb 9, 2018
BACKGROUND: Remote photoplethysmography (rPPG) has been in the forefront recently for measuring cardiac pulse rates from live or recorded videos. It finds advantages in scenarios requiring remote monitoring, such as medicine and fitness, where contac...
Humans Algorithms Photoplethysmography Robotics Statistics as Topic Signal-To-Noise Ratio Signal Processing, Computer-Assisted
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Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2018
The scalability of low-rank representation (LRR) to large-scale data is still a major research issue, because it is extremely time-consuming to solve singular value decomposition (SVD) in each optimization iteration especially for large matrices. Sev...
Learning Cluster Analysis Supervised Machine Learning Artificial Intelligence Algorithms Statistics as Topic Pattern Recognition, Visual
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Coupled generative adversarial stacked Auto-encoder: CoGASA.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2018
Coupled Generative Adversarial Network (CoGAN) was recently introduced in order to model a joint distribution of a multi modal dataset. The CoGAN model lacks the capability to handle noisy data as well as it is computationally expensive and inefficie...
Statistics as Topic Pattern Recognition, Visual Neural Networks, Computer
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Assisting document triage for human kinome curation via machine learning.

Database : the journal of biological databases and curation Jan 1, 2018
In the era of data explosion, the increasing frequency of published articles presents unorthodox challenges to fulfill specific curation requirements for bio-literature databases. Recognizing these demands, we designed a document triage system with a...
Documentation Statistics as Topic Humans Protein Kinases Proteome Data Mining Machine Learning
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