AIMC Topic: Multivariate Analysis

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Deep-Learning-Assisted multivariate curve resolution.

Journal of chromatography. A Nov 13, 2020
Gas chromatography-mass spectrometry (GC-MS) is one of the major platforms for analyzing volatile compounds in complex samples. However, automatic and accurate extraction of qualitative and quantitative information is still challenging when analyzing...
Deep Learning Least-Squares Analysis Gas Chromatography-Mass Spectrometry Multivariate Analysis Neural Networks, Computer
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More stringent criteria are needed for diagnosing internet gaming disorder: Evidence from regional brain features and whole-brain functional connectivity multivariate pattern analyses.

Journal of behavioral addictions Oct 7, 2020
BACKGROUND: Internet gaming disorder (IGD) is included in the DSM-5 as a provisional diagnosis. Whether IGD should be regarded as a disorder and, if so, how it should be defined and thresholded have generated considerable debate.
Nerve Net Diagnostic and Statistical Manual of Mental Disorders Video Games Executive Function Pattern Recognition, Automated Multivariate Analysis Connectome Female Internet Addiction Disorder Young Adult Default Mode Network Adult Recreation Male Adolescent Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Machine Learning Brain
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Machine Learning-Assisted Raman Spectroscopy for pH and Lactate Sensing in Body Fluids.

Analytical chemistry Sep 28, 2020
This study presents the combination of Raman spectroscopy with machine learning algorithms as a prospective diagnostic tool capable of detecting and monitoring relevant variations of pH and lactate as recognized biomarkers of several pathologies. The...
Lactic Acid Multivariate Analysis Machine Learning Spectrum Analysis, Raman Animals Principal Component Analysis Swine Hydrogen-Ion Concentration Body Fluids
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Deep Learning and Multivariable Models Select EVAR Patients for Short-Stay Discharge.

Vascular and endovascular surgery Sep 10, 2020
OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (VQI) EVAR in efforts to assist endovascular specialists in deciding whether or not a patient is appropriate for short-stay discharge.
Treatment Outcome Patient Discharge Patient Selection Multivariate Analysis Time Factors Smartphone Mobile Applications Endovascular Procedures Enhanced Recovery After Surgery Health Services Research Aortic Aneurysm Risk Factors Aged Aged, 80 and over Male Risk Assessment Deep Learning Length of Stay Decision Support Techniques Databases, Factual Clinical Decision-Making Female Humans
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Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data.

Human brain mapping Sep 2, 2020
This study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy whi...
Humans Adult Support Vector Machine Magnetic Resonance Imaging Motion Perception Brain Mapping Multivariate Analysis Visual Cortex
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An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm.

BioMed research international Jun 27, 2020
Non-small-cell lung cancer (NSCLC) patients often develop bone metastases (BM), and the overall survival for these patients is usually perishing. However, a model with high accuracy for predicting the survival of NSCLC with BM is still lacking. Here,...
Male Models, Biological Prognosis Humans ROC Curve Artificial Intelligence Logistic Models Survival Analysis Female Lung Neoplasms Algorithms Multivariate Analysis Nomograms Reproducibility of Results Carcinoma, Non-Small-Cell Lung Aged Bone Neoplasms
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Batch process fault detection for multi-stage broad learning system.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2020
In the real industrial production process, some minor faults are difficult to be detected by multivariate statistical analysis methods with mean and variance as detection indicators due to the aging equipment and catalyst deactivation. With structura...
Multivariate Analysis Humans Neural Networks, Computer Algorithms Deep Learning
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Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach.

Scandinavian journal of trauma, resuscitation and emergency medicine May 27, 2020
BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. Several studies prove that the machine learning predictive techniques outperform the classical multivariate techniques. We aim...
Female Adult Sensitivity and Specificity Male Middle Aged Hospital Mortality Brain Injuries, Traumatic Humans Machine Learning Area Under Curve Registries Multivariate Analysis
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Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem.

Neural networks : the official journal of the International Neural Network Society May 26, 2020
We prove a theorem concerning the approximation of multivariate functions by deep ReLU networks, for which the curse of the dimensionality is lessened. Our theorem is based on a constructive proof of the Kolmogorov-Arnold superposition theorem, and o...
Neural Networks, Computer Multivariate Analysis
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Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India.

PloS one May 21, 2020
A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales of drought information at six meteorological stations located in ...
Water Resources Meteorological Concepts Conservation of Water Resources Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Fuzzy Logic Linear Models Multivariate Analysis Droughts India Models, Theoretical Environmental Monitoring
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