AIMC Topic: Multivariate Analysis
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Multivariate detrending of fMRI signal drifts for real-time multiclass pattern classification.
NeuroImage
Jan 5, 2015
Signal drift in functional magnetic resonance imaging (fMRI) is an unavoidable artifact that limits classification performance in multi-voxel pattern analysis of fMRI. As conventional methods to reduce signal drift, global demeaning or proportional s...
Outcomes of Extraperitoneal Robot-Assisted Radical Prostatectomy in the Morbidly Obese: A Propensity Score-Matched Study.
Journal of endourology
Dec 2, 2014
INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with localized prostate cancer are presenting as candidates for robot-assisted radical prostatectomy (RARP), which can be carried out using the transperitoneal ...
Distal pancreatectomy: a single institution's experience in open, laparoscopic, and robotic approaches.
Journal of the American College of Surgeons
Oct 15, 2014
BACKGROUND: The indications for minimally invasive (MIS) pancreatectomy have slowly increased as experience, techniques, and technology have improved and evolved to manage malignant lesions in selected patients without compromising safety and oncolog...
Multivariate decoding of cerebral blood flow measures in a clinical model of on-going postsurgical pain.
Human brain mapping
Oct 12, 2014
Recent reports of multivariate machine learning (ML) techniques have highlighted their potential use to detect prognostic and diagnostic markers of pain. However, applications to date have focussed on acute experimental nociceptive stimuli rather tha...
Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.
European child & adolescent psychiatry
Aug 11, 2014
Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challenging. To assess the diagnostic predictive value of multiple types of data at the emergence of early-onset first-episode psychosis (FEP), various suppo...
Univariate versus multivariate approaches for resolving the overlapped spectra of azelastine hydrochloride and mometasone furoate.
Analytical biochemistry
Sep 1, 2025
Azelastine hydrochloride (AZE) and Mometasone furoate (MOM) combination is used to treat allergic rhinitis' symptoms. The aim of this work is to qualitatively and quantitatively analyze both medications using univariate and multivariate spectrophotom...
Leveraging infrared spectroscopy for cocoa content prediction: A dual approach with Kohonen neural network and multivariate modeling.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jul 5, 2025
People of all ages enjoy chocolate, and its popularity is attributed to its pleasant taste and aroma, as well as its associated health benefits. Produced through both artisanal and industrial processes, which involve harvesting, selecting, fermenting...
Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy.
BMC infectious diseases
May 27, 2025
The increasing incidence of dengue virus (DENV) infections poses significant public health challenges in Bangladesh, demanding advanced forecasting methodologies to guide timely interventions. This study introduces a rigorous multivariate time series...
Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data.
BMJ open
May 16, 2025
OBJECTIVES: In lung transplantation (LTx), a priority is assigned to each candidate on the waiting list. Our primary objective was to identify the key factors that influence the allocation of priorities in LTx using machine learning (ML) techniques t...
A novel approach to finding the compositional differences and biomarkers in gut microbiota in type 2 diabetic patients via meta-analysis, data-mining, and multivariate analysis.
Endocrinologia, diabetes y nutricion
Jan 1, 2025
BACKGROUND/PURPOSE OF THE STUDY: Type 2 diabetes mellitus (T2DM)-one of the fastest globally spreading diseases-is a chronic metabolic disorder characterized by elevated blood glucose levels. It has been suggested that the composition of gut microbio...
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