AIMC Topic: Multivariate Analysis

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Application of machine learning and multivariate approaches for assessing microplastic pollution and its associated risks in the urban outdoor environment of Bangladesh.

Journal of hazardous materials Apr 18, 2024
Microplastics (MPs) are an emerging global concern due to severe toxicological risks for ecosystems and public health. Therefore, this is the first study in Bangladesh to assess MP pollution and its associated risks for ecosystems and human health in...
Cities Dust Machine Learning Risk Assessment Microplastics Bangladesh Multivariate Analysis Environmental Monitoring Environmental Pollution Humans
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Using multivariate pattern analysis to increase effect sizes for event-related potential analyses.

Psychophysiology Mar 22, 2024
Multivariate pattern analysis (MVPA) approaches can be applied to the topographic distribution of event-related potential (ERP) signals to "decode" subtly different stimulus classes, such as different faces or different orientations. These approaches...
Adult Male Female Young Adult Electroencephalography Signal Processing, Computer-Assisted Multivariate Analysis Support Vector Machine Data Interpretation, Statistical Humans Evoked Potentials
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Machine vision-based non-destructive dissolution prediction of meloxicam-containing tablets.

International journal of pharmaceutics Mar 17, 2024
Machine vision systems have emerged for quality assessment of solid dosage forms in the pharmaceutical industry. These can offer a versatile tool for continuous manufacturing while supporting the framework of process analytical technology, quality-by...
Tablets Neural Networks, Computer Solubility Meloxicam Drug Industry Multivariate Analysis
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Prediction of immunotherapy response in idiopathic membranous nephropathy using deep learning-pathological and clinical factors.

Frontiers in endocrinology Mar 8, 2024
BACKGROUND: Owing to individual heterogeneity, patients with idiopathic membranous nephropathy (IMN) exhibit varying sensitivities to immunotherapy. This study aimed to establish and validate a model incorporating pathological and clinical features u...
Kidney Glomerulonephritis, Membranous Multivariate Analysis Deep Learning Immunotherapy Humans
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Multi-scale representation of surface-enhanced Raman spectroscopy data for deep learning-based liver cancer detection.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 12, 2023
The early detection of liver cancer greatly improves survival rates and allows for less invasive treatment options. As a non-invasive optical detection technique, Surface-Enhanced Raman Spectroscopy (SERS) has shown significant potential in early can...
Multivariate Analysis Humans Neural Networks, Computer Liver Neoplasms Spectrum Analysis, Raman Deep Learning
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Rapid identification of Salmonella serovars Enteritidis and Typhimurium using whole cell matrix assisted laser desorption ionization - Time of flight mass spectrometry (MALDI-TOF MS) coupled with multivariate analysis and artificial intelligence.

Journal of microbiological methods Sep 23, 2023
Salmonella is a common food-borne pathogen with Enteritidis and Typhimurium being among the most important serovars causing numerous outbreaks. A rapid method was investigated to identify these serovars using whole-cell MALDI-TOF MS coupled with mult...
Artificial Intelligence Salmonella enteritidis Ions Lasers Serogroup Multivariate Analysis Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Development and comparative analysis of ANN and SVR-based models with conventional regression models for predicting spray drift.

Environmental science and pollution research international Oct 25, 2022
As monitoring of spray drift during application can be expensive, time-consuming, and labor-intensive, drift predicting models may provide a practical complement. Several mechanistic models have been developed as drift prediction tool for various typ...
Multivariate Analysis Nonlinear Dynamics Linear Models Neural Networks, Computer Least-Squares Analysis
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Distinguishing tumor from healthy tissue in human liver ex vivo using machine learning and multivariate analysis of diffuse reflectance spectra.

Journal of biophotonics Aug 4, 2022
The aim of this work was to evaluate the capability of diffuse reflectance spectroscopy to distinguish malignant liver tissues from surrounding tissues and to determine whether an extended wavelength range (450-1550 nm) offers any advantages over usi...
Humans Liver Spectrum Analysis Machine Learning Multivariate Analysis Neoplasms
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Survival prediction models: an introduction to discrete-time modeling.

BMC medical research methodology Jul 26, 2022
BACKGROUND: Prediction models for time-to-event outcomes are commonly used in biomedical research to obtain subject-specific probabilities that aid in making important clinical care decisions. There are several regression and machine learning methods...
Multivariate Analysis Humans Machine Learning Algorithms Software Proportional Hazards Models
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UV/VIS imaging-based PAT tool for drug particle size inspection in intact tablets supported by pattern recognition neural networks.

International journal of pharmaceutics Apr 27, 2022
The potential of machine vision systems has not currently been exploited for pharmaceutical applications, although expected to provide revolutionary solutions for in-process and final product testing. The presented paper aimed to analyze the particle...
Meloxicam Neural Networks, Computer Tablets Particle Size Multivariate Analysis
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