Results 131 to 140 of about 1,921,898 (301)
A novel SERS platform using gradient nanostructures and machine learning is presented. Gradient nanostructures minimize fabrication variability and enhance spectral diversity. The ML model significantly improves quantification precision, robustness and reproducibility, reducing test MSE by 84.8% and increasing R2 by 61.2%, enabling reliable real‐world ...
Xiaoyu Zhao+13 more
wiley +1 more source
On the Semi-Parametric Efficiency of Logistic Regression under Case-Control Sampling [PDF]
Norman E. Breslow+2 more
openalex +1 more source
Multivariate logistic regression analysis using multilevel model
Background & Aim: One of the basic assumptions in simple linear regression models is the statistical independence of observations. Sometimes this assumption is not true for study subject and consequently the use of general regression models may not be ...
Ahmad Vakili Basir+2 more
doaj
Compared with the non‐risk G allele of rs9606, the risk T allele of rs9606 decreases the binding affinity of NUDT21 for LYRM4, triggering 3'UTR shortening that stabilizes LYRM4 mRNA and elevates its expression. Increased LYRM4 expression promoted malignant phenotypes of non‐small cell lung cancer (NSCLC) cells through modulating ferroptosis, supporting
Meng Jin+11 more
wiley +1 more source
Reliability of Pharmacodynamic Analysis by Logistic Regression [PDF]
Wei Lü, James M. Bailey
openalex +1 more source
This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...
Zijian Yang+23 more
wiley +1 more source
A logistic regression of risk factors for disease occurrence on Asian shrimp farms [PDF]
P. W. Leung, Liem Tran, AW Fast
openalex +1 more source
Practical Guide to Logistic Regression
Ulrike Grömping
doaj +1 more source
A novel RBC indicator, ESI, is better than the traditional RBC indicators and is associated with CHF prevalence and in‐hospital death. RBC membrane lipidomics, Cer 18:0;O2/16:0, and LPE 18:0, are associated with plasma volume overload and MACE in CHF patients, but these plasma lipids could not.
Lin Zhang+12 more
wiley +1 more source