AIMC Topic: Regression Analysis

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Convolutional neural network-based regression analysis to predict subnuclear chromatin organization from two-dimensional optical scattering signals.

Journal of biomedical optics Aug 28, 2024
SIGNIFICANCE: Azimuth-resolved optical scattering signals obtained from cell nuclei are sensitive to changes in their internal refractive index profile. These two-dimensional signals can therefore offer significant insights into chromatin organizatio...
Humans Scattering, Radiation Refractometry Chromatin Algorithms Neural Networks, Computer Machine Learning Regression Analysis Cell Nucleus
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Bayesian learning of feature spaces for multitask regression.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
This paper introduces a novel approach to learn multi-task regression models with constrained architecture complexity. The proposed model, named RFF-BLR, consists of a randomised feedforward neural network with two fundamental characteristics: a sing...
Regression Analysis Bayes Theorem Nonlinear Dynamics Machine Learning Algorithms Humans Neural Networks, Computer
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Mathematical optimization of multilinear and artificial neural network regressions for mineral composition of different tea types infusions.

Scientific reports Aug 7, 2024
The objective of this study was to investigate the change in mineral composition depending on tea variety, tea concentration, and steeping time. Four different tea varieties, black Ceylon (BC), black Turkish (BT), green Ceylon (GC), and green Turkish...
Camellia sinensis Tea Neural Networks, Computer Minerals Regression Analysis
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Predictors of High Healthcare Cost Among Patients with Generalized Myasthenia Gravis: A Combined Machine Learning and Regression Approach from a US Payer Perspective.

Applied health economics and health policy Jul 13, 2024
BACKGROUND: High healthcare costs could arise from unmet needs. This study used random forest (RF) and regression methods to identify predictors of high costs from a US payer perspective in patients newly diagnosed with generalized myasthenia gravis ...
Myasthenia Gravis Male Middle Aged Regression Analysis Health Care Costs United States Aged Humans Adult Female Machine Learning
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Machine learning vs. regression models to predict the risk of Legionella contamination in a hospital water network.

Annali di igiene : medicina preventiva e di comunita Jul 11, 2024
INTRODUCTION: The periodic monitoring of Legionella in hospital water networks allows preventive measures to be taken to avoid the risk of legionellosis to patients and healthcare workers.
Legionellosis Legionella Water Supply Risk Assessment Hospitals Italy Water Microbiology Regression Analysis Machine Learning Sensitivity and Specificity Humans
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Radiological characterization of the tailings of an abandoned copper mine using a neural network and geostatistical analysis through the Co-Kriging method.

Environmental geochemistry and health Jul 9, 2024
The radiological characterization of soil contaminated with natural radionuclides enables the classification of the area under investigation, the optimization of laboratory measurements, and informed decision-making on potential site remediation. Neu...
Neural Networks, Computer Regression Analysis Radiation Monitoring Soil Pollutants, Radioactive Copper Mining
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Optimization of mid-infrared noninvasive blood-glucose prediction model by support vector regression coupled with different spectral features.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 26, 2024
Mid-infrared spectral analysis of glucose in subcutaneous interstitial fluid has been widely employed as a noninvasive alternative to the standard blood-glucose detection requiring blood-sampling via skin-puncturing, but improving the confidence leve...
Blood Glucose Spectroscopy, Fourier Transform Infrared Humans Spectrophotometry, Infrared Support Vector Machine Male Regression Analysis
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Iterative Regression of Corrective Baselines (IRCB): A New Model for Quantitative Spectroscopy.

Journal of chemical information and modeling Jun 19, 2024
In this work, a new model with broad utility for quantitative spectroscopy development is reported. A primary objective of this work is to create a novel modeling procedure that may allow for higher automation of the model development process. The fu...
Regression Analysis Machine Learning Least-Squares Analysis Spectroscopy, Fourier Transform Infrared
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Topological regression as an interpretable and efficient tool for quantitative structure-activity relationship modeling.

Nature communications Jun 13, 2024
Quantitative structure-activity relationship (QSAR) modeling is a powerful tool for drug discovery, yet the lack of interpretability of commonly used QSAR models hinders their application in molecular design. We propose a similarity-based regression ...
Humans Algorithms Drug Discovery Quantitative Structure-Activity Relationship Deep Learning Regression Analysis
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Data-driven learning of structure augments quantitative prediction of biological responses.

PLoS computational biology Jun 3, 2024
Multi-factor screenings are commonly used in diverse applications in medicine and bioengineering, including optimizing combination drug treatments and microbiome engineering. Despite the advances in high-throughput technologies, large-scale experimen...
Regression Analysis Humans Machine Learning Bacterial Infections Plasmids Drug Resistance, Bacterial Bacteria Models, Biological Bioengineering Computer Simulation Escherichia coli
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