AIMC Topic: Time Factors

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State Estimation for Delayed Genetic Regulatory Networks With Reaction-Diffusion Terms.

IEEE transactions on neural networks and learning systems Nov 14, 2016
This paper addresses the problem of state estimation for delayed genetic regulatory networks (DGRNs) with reaction-diffusion terms using Dirichlet boundary conditions. The nonlinear regulation function of DGRNs is assumed to exhibit the Hill form. Th...
Gene Regulatory Networks Computational Biology Models, Genetic Models, Theoretical Diffusion Humans Neural Networks, Computer Algorithms Animals Time Factors
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Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals Nov 14, 2016
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...
Treatment Outcome Aortic Valve Predictive Value of Tests Coronary Angiography Creatinine Middle Aged Risk Assessment Time Factors Hospital Mortality Renal Insufficiency Patient Selection Mitral Valve Heart Valve Diseases Heart Valve Prosthesis Implantation Time-to-Treatment Humans Biomarkers Retrospective Studies Acute Kidney Injury Female Risk Factors Aged Aged, 80 and over Male
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An integrated model of pitch perception incorporating place and temporal pitch codes with application to cochlear implant research.

Hearing research Nov 12, 2016
Although the neural mechanisms underlying pitch perception are not yet fully understood, there is general agreement that place and temporal representations of pitch are both used by the auditory system. This paper describes a neural network model of ...
Neural Networks, Computer Time Factors Neuronal Plasticity Prosthesis Design Acoustics Cochlear Implants Sound Spectrography Humans Persons with Hearing Disabilities Cues Periodicity Acoustic Stimulation Pitch Discrimination Auditory Pathways Pitch Perception Models, Psychological
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Inferring Weighted Directed Association Network from Multivariate Time Series with a Synthetic Method of Partial Symbolic Transfer Entropy Spectrum and Granger Causality.

PloS one Nov 10, 2016
Complex network methodology is very useful for complex system explorer. However, the relationships among variables in complex system are usually not clear. Therefore, inferring association networks among variables from their observed data has been a ...
Neural Networks, Computer Algorithms Reproducibility of Results Time Factors Computational Biology Models, Theoretical Multivariate Analysis Entropy
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Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2016
As we know, the notion of dissipativity is an important dynamical property of neural networks. Thus, the analysis of dissipativity of neural networks with time delay is becoming more and more important in the research field. In this paper, the author...
Neural Networks, Computer Algorithms Time Factors Knowledge
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Effect of Long-Term Hormonal Therapy (vs Short-Term Hormonal Therapy): A Secondary Analysis of Intermediate-Risk Prostate Cancer Patients Treated on NRG Oncology RTOG 9202.

International journal of radiation oncology, biology, physics Nov 8, 2016
PURPOSE: NRG Oncology RTOG 9202 was a randomized trial testing long-term adjuvant androgen deprivation (LTAD) versus initial androgen deprivation only (STAD) with external beam radiation therapy (RT) in mostly high-risk and some intermediate-risk pro...
Radiotherapy, Conformal Drug Administration Schedule Risk Kaplan-Meier Estimate Aged Antineoplastic Agents, Hormonal Neoplasm Grading Aged, 80 and over Androgen Antagonists Survival Rate Combined Modality Therapy Male Disease-Free Survival Middle Aged Time Factors Humans Treatment Outcome Retrospective Studies Adenocarcinoma Prostatic Neoplasms Prostate-Specific Antigen
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Likelihood Functions Massachusetts Process Assessment, Health Care Middle Aged Data Mining Hospitals Humans Quality Indicators, Health Care Female Machine Learning Time Factors Logistic Models Multivariate Analysis Risk Factors Algorithms Treatment Outcome Propensity Score Hospital Mortality Databases, Factual Cause of Death Aged Registries Aged, 80 and over Percutaneous Coronary Intervention Male
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.
Humans Machine Learning Data Mining Risk Assessment Early Diagnosis Case-Control Studies Prognosis Pennsylvania Incidence Logistic Models Electronic Health Records Time Factors Predictive Value of Tests Female ROC Curve Area Under Curve Risk Factors Heart Failure Male
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Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance predict...
Databases, Factual Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Time Factors Logistic Models Humans Algorithms Telemedicine Patient Readmission Nonlinear Dynamics Support Vector Machine Randomized Controlled Trials as Topic Heart Failure Data Mining
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A new switching control for finite-time synchronization of memristor-based recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2016
In this paper, finite-time synchronization (FTS) of memristor-based recurrent neural networks (MNNs) with time-varying delays is investigated by designing a new switching controller. First, by using the differential inclusions theory and set-valued m...
Algorithms Time Factors Nonlinear Dynamics Neural Networks, Computer
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