machine learning toolbox (MathWorks Inc)
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MathWorks Inc
machine learning toolbox
Machine Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2336 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/machine+learning+toolbox/Statistics+and+Machine+Learning+Toolbox/pmc13652351-150-16-13
Average 96 stars, based on 2336 article reviews
Machine Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2336 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/machine+learning+toolbox/Statistics+and+Machine+Learning+Toolbox/pmc13652351-150-16-13
Average 96 stars, based on 2336 article reviews
machine learning toolbox - by Bioz Stars,
2026-10
96/100 stars
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other:Article Title: Quantitative mapping of meniscus morphology using advanced imaging analysis in young patients. Article Snippet: Principal component analysis (PCA) using the Statistics and Article Title: Normative Data of Higher-Order Aberrations in Healthy Caucasian Eyes and Their Correlation with Age, Gender, and Spherical Equivalent Article Snippet: Packages tidyverse and rstatix were used for R and statistics and Article Title: Comparison of Monopolar and Bipolar Pulsed Field vs Radiofrequency Ablation on Coronary Artery Injury in a Swine Model. Article Snippet: BACKGROUND Pulsed field ablation (PFA) has the advantage of tissue selectivity but is known to cause coronary artery (CA) spasm and injury.. The effect of changes in PFA waveform on CA injury has not been adequately explored.. OBJECTIVES This study sought to explore the effects of varying PFA waveform (bipolar vs monopolar) and field strength (1.4 kV vs 2.0 kV) on CA injury compared with radiofrequency ablation (RFA) in a swine model. METHODS Twelve swine underwent cavotricuspid isthmus (CTI) ablation using either biphasic PFA or a novel, dual-energy catheter without nitrate prophylaxis in 4 groups: 1) monopolar PFA 1.4 kV (PF-M1); 2) monopolar PFA 2.0 kV (PF-M2); 3) bipolar PFA 2kV (PF-B2); or 4) irrigated, contact-force RFA. Article Title: Pharmacokinetic modelling during long-term anesthesia: minimizing the gap Article Snippet: All these tools were used from the Statistics and Article Title: Predicting the Risk of Proteinuria Based on Blood Plasma Fourier‐Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns Article Snippet: We implemented SVM, K‐Nearest Neighbours (with k = 5), and decision trees using Article Title: Biomechanical performance predictors of the bobsleigh push phase. Article Snippet: The purpose of this exploratory data analysis was to identify performance predictors of the bobsleigh push phase and to evaluate their importance and effect on performance.. Fifty-three predictor variables were derived from a large dataset containing kinematic and joint kinetic variables of 305 ground contact phases (GC) of 28 male elite bobsleigh athletes, which were input to a Random Forest regressor (RF) to predict average forward acceleration.. The push phase was divided into a start acceleration (SAP1: first GC after the push-off from the start-block; SAP2: second GC) and acceleration phase (AP: GC at 10 m) to account for phase-specific differences. Article Title: Dynamic modulation of social gaze by sex and familiarity in marmoset dyads Article Snippet: We used the maximum likelihood estimation method (mle() function in the Statistics and Article Title: Light-induced 3D-printing of DNA-based responsive hydrogels Article Snippet: An open-source algorithm has been used for the Shapiro-Wilk’s test [49], while the Student tests were picked from Statistics and |