AIMC Topic: Neural Networks, Computer

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Real-time prediction of disordered breathing events in people with obstructive sleep apnea.

Sleep & breathing = Schlaf & Atmung
PURPOSE: Conventional therapies for obstructive sleep apnea (OSA) are effective but suffer from poor patient adherence and may not fully alleviate major OSA-associated cardiovascular risk factors or improve certain aspects of quality of life. Predict...

Comparison of novel granulated pellet-containing tablets and traditional pellet-containing tablets by artificial neural networks.

Pharmaceutical development and technology
Novel granulated pellets technique was adopted to prepare granulated pellet-containing tablets (GPCT). GPCT and traditional pellet-containing tablets (PCT) were prepared according to 29 formulations devised by the Design Expert 7.0, with doxycycline ...

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Clinical EEG and neuroscience
Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major depressive disorder (MDD) tre...

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

Brain structure & function
Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Unlike the previous methods that considered simple low-level features such as gray matter tis...

Prediction of road traffic death rate using neural networks optimised by genetic algorithm.

International journal of injury control and safety promotion
Road traffic injuries (RTIs) are realised as a main cause of public health problems at global, regional and national levels. Therefore, prediction of road traffic death rate will be helpful in its management. Based on this fact, we used an artificial...

Combination of artificial neural network and genetic algorithm method for modeling of methylene blue adsorption onto wood sawdust from water samples.

Toxicology and industrial health
The aim of this research was to develop a low price and environmentally friendly adsorbent with abundant of source to remove methylene blue (MB) from water samples. Sawdust solid-phase extraction coupled with high-performance liquid chromatography wa...

A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns.

Computer methods in biomechanics and biomedical engineering
The aim of this study was to present a new training algorithm using artificial neural networks called multi-objective least absolute shrinkage and selection operator (MOBJ-LASSO) applied to the classification of dynamic gait patterns. The movement pa...

Shortcomings of deep learning for distributional predictors: a note.

Biostatistics (Oxford, England)
A number of domains in biomedical research use data with a large number of predictors all representing the same type of measurement. Often, an important summary is the within-person distribution of these predictors. Here we focus on settings where th...

[Diffusion cycle-consistent generative adversarial networks for pelvic active bone marrow segmentation].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVES: To establish a pelvic active bone marrow (ABM) segmentation method based on diffusion cycle-consistent generative adversarial networks for improving individualized precision of conventional anatomical atlas-based methods. METHODS: We coll...

[Evaluation of an interpretable 12-lead ECG automatic diagnosis model based on deep feature fusion].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVES: To enhance the accuracy and reliability of 12-lead electrocardiogram (ECG) automatic diagnosis. METHODS: Herein we propose a 12-lead ECG automatic diagnosis model based on deep feature fusion (MRHL-ECGNet), which consists of a multi-scale...