AIMC Topic: Analysis of Variance
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Design of experiments and artificial neural networks as useful tools in the optimization of analytical procedure.
Polimery w medycynie
Jan 1, 2024
Developing the analytical procedure requires estimating what independent variables will be tested and at what levels. There are statistical models that enable the optimization of the process. They involve statistical analysis, which indicates the cru...
Comparing Machine Learning Algorithms for Predicting Acute Kidney Injury.
The American surgeon
Jul 1, 2019
Prior studies have used vital signs and laboratory measurements with conventional modeling techniques to predict acute kidney injury (AKI). The purpose of this study was to use the trend in vital signs and laboratory measurements with machine learnin...
Identification of hormone binding proteins based on machine learning methods.
Mathematical biosciences and engineering : MBE
Mar 22, 2019
The soluble carrier hormone binding protein (HBP) plays an important role in the growth of human and other animals. HBP can also selectively and non-covalently interact with hormone. Therefore, accurate identification of HBP is an important prerequis...
Evaluating the diameter of eyedropper tips using a computer vision system.
Arquivos brasileiros de oftalmologia
Jan 1, 2019
PURPOSE: This study aimed to determine the variation in diameters of outer and inner apertures of eyedropper tips using a computer vision system. Standardizing the size of eye drop nozzles is crucial to reduce the treatment cost of chronic eye diseas...
Combined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana.
Molecular omics
Dec 3, 2018
Abiotic stress exposure of plants induces metabolic reprogramming which is tightly regulated by signalling cascades connecting transcriptional with translational and metabolic regulation. Complexity of such interconnected metabolic networks impedes t...
Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT.
Journal of digital imaging
Aug 1, 2018
In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for enhancing image resolution in chest CT images, was applied and evaluated using the post-processing ...
The combined use of virtual reality and EEG to study language processing in naturalistic environments.
Behavior research methods
Apr 1, 2018
When we comprehend language, we often do this in rich settings where we can use many cues to understand what someone is saying. However, it has traditionally been difficult to design experiments with rich three-dimensional contexts that resemble our ...
Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.
Restorative neurology and neuroscience
Jan 1, 2018
BACKGROUND: Robotic rehabilitation is a highly promising approach to recover lost functions after stroke or other neurological disorders. Unfortunately, robotic rehabilitation currently suffers from "motor slacking", a phenomenon in which the human m...
Influence of Spinal Manipulative Therapy Force Magnitude and Application Site on Spinal Tissue Loading: A Biomechanical Robotic Serial Dissection Study in Porcine Motion Segments.
Journal of manipulative and physiological therapeutics
Jan 1, 2017
OBJECTIVE: In order to define the relation between spinal manipulative therapy (SMT) input parameters and the distribution of load within spinal tissues, the aim of this study was to determine the influence of force magnitude and application site whe...
P569Diastolic dyssynchrony is associated with exercise intolerance in hypertensive patients with left ventricular hypertrophy.
European heart journal. Cardiovascular Imaging
Dec 1, 2016
BACKGROUND: Left ventricular hypertrophy (LVH) is associated with intra-ventricular dyssynchrony at systolic phase during exercise in hypertensive patients. However, dypsnea on exertion is much more correlated with diastolic phase. We investigated wh...
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