AIMC Topic:
Models, Theoretical

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Applicability of SSVEP-based brain-computer interfaces for robot navigation in real environments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Brain-computer interfaces have been extensively studied and used in order to aid patients suffering from neuromuscular diseases to communicate and control the surrounding environment. Steady-state visual evoked potentials (SSVEP) constitute a very po...
Robotics Electroencephalography Brain-Computer Interfaces Male Models, Theoretical Evoked Potentials, Visual Neurologic Examination Humans Female Adult Databases, Factual
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Prediction using patient comparison vs. modeling: a case study for mortality prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Information in Electronic Medical Records (EMRs) can be used to generate accurate predictions for the occurrence of a variety of health states, which can contribute to more pro-active interventions. The very nature of EMRs does make the application o...
Models, Theoretical Electronic Health Records Mortality Humans Time Factors Algorithms
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Model-based assistance-as-needed for robotic movement therapy after stroke.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This paper extends an adaptive control approach for robotic movement therapy that learns deficiencies in a patient's neuromuscular output and assists accordingly. In this method, adaptation is based on trajectory tracking error and a model of unimpai...
Humans Machine Learning Models, Theoretical Physical Therapy Modalities Robotics Stroke Rehabilitation Arm
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Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This study proposes a Cross-Correlated Delay Shift (CCDS) supervised learning rule to train neurons with associated spatiotemporal patterns to classify spike patterns. The objective of this study was to evaluate the feasibility of using the CCDS rule...
Epilepsy Humans Neurons Neural Networks, Computer Action Potentials Algorithms Electroencephalography Models, Theoretical Machine Learning
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Beat-to-beat variability of P-wave in patients suffering from atrial fibrillation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The aim of this paper was to analyze the P-wave variability over time in patients suffering from Atrial Fibrillation (AF). Behind some time-domain and morphological features of the P-wave template, two novel indexes of P-wave variability have been es...
Heart Conduction System Atrial Fibrillation Heart Atria Case-Control Studies Sensitivity and Specificity Models, Theoretical Cardiovascular Diseases Humans Postoperative Period Coronary Artery Bypass
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Electrocardiogram signal denoising based on a new improved wavelet thresholding.

The Review of scientific instruments Aug 1, 2016
Good quality electrocardiogram (ECG) is utilized by physicians for the interpretation and identification of physiological and pathological phenomena. In general, ECG signals may mix various noises such as baseline wander, power line interference, and...
Humans Electrocardiography Signal Processing, Computer-Assisted Signal-To-Noise Ratio Neural Networks, Computer Models, Theoretical
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A fuzzy logic controller based approach to model the switching mechanism of the mammalian central carbon metabolic pathway in normal and cancer cells.

Molecular bioSystems Jul 19, 2016
Dynamics of large nonlinear complex systems, like metabolic networks, depend on several parameters. A metabolic pathway may switch to another pathway in accordance with the current state of parameters in both normal and cancer cells. Here, most of th...
Gluconeogenesis Models, Biological Animals Mammals Neoplasms Carbon Models, Theoretical Metabolic Networks and Pathways Fuzzy Logic Humans Algorithms Glycolysis
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Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.

Database : the journal of biological databases and curation Jul 1, 2016
The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our syst...
Animals Models, Theoretical Humans Chemically-Induced Disorders Support Vector Machine Data Mining
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AUC-Maximizing Ensembles through Metalearning.

The international journal of biostatistics May 1, 2016
Area Under the ROC Curve (AUC) is often used to measure the performance of an estimator in binary classification problems. An AUC-maximizing classifier can have significant advantages in cases where ranking correctness is valued or if the outcome is ...
Area Under Curve Machine Learning Algorithms Models, Theoretical
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Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference.

The international journal of biostatistics May 1, 2016
This paper investigates the appropriateness of the integration of flexible propensity score modeling (nonparametric or machine learning approaches) in semiparametric models for the estimation of a causal quantity, such as the mean outcome under treat...
Data Interpretation, Statistical Machine Learning Outcome Assessment, Health Care Models, Theoretical Humans
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