Use of random forest analysis to quantify the importance of the structural characteristics of beta-glucans for prebiotic development

2020 ◽  
Vol 108 ◽  
pp. 106001 ◽  
Author(s):  
Ka-Lung Lam ◽  
Wai-Yin Cheng ◽  
Yuting Su ◽  
Xiaojie Li ◽  
Xiyang Wu ◽  
...  
2021 ◽  
Vol 292 ◽  
pp. 123467
Author(s):  
You Zhan ◽  
Joshua Qiang Li ◽  
Cheng Liu ◽  
Kelvin C.P. Wang ◽  
Dominique M. Pittenger ◽  
...  

2013 ◽  
Vol 23 (suppl_1) ◽  
Author(s):  
N Kanerva ◽  
M Erkkola ◽  
J Nevalainen ◽  
S Männistö

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Gülen Yerlikaya ◽  
Veronica Falcone ◽  
Tina Stopp ◽  
Martina Mittlböck ◽  
Andrea Tura ◽  
...  

The aim of this study was to assess the association between OGTT glucose levels and requirement of pharmacotherapy in GDM patients classified by the IADPSG criteria. This study included 203 GDM patients (108 managed with lifestyle modification and 95 requiring pharmacotherapy). Clinical risk factors and OGTT glucose concentrations at 0 (G0), 60 (G60), and 120 min (G120) were collected. OGTT glucose levels were significantly associated with the later requirement of pharmacotherapy (ROC-AUC: 71.1, 95% CI: 63.8–78.3). Also, the combination of clinical risk factors (age, BMI, parity, and pharmacotherapy in previous gestation) showed an acceptable predictive accuracy (ROC-AUC: 72.1, 95% CI: 65.0–79.2), which was further improved when glycemic parameters were added (ROC-AUC: 77.5, 95% CI: 71.5–83.9). Random forest analysis revealed the highest variable importance for G0, G60, and age. OGTT glucose measures in addition to clinical risk factors showed promising properties for risk stratification in GDM patients classified by the recently established IADPSG criteria.


Author(s):  
Yana Penkova ◽  
Achim Rabus

AbstractThe paper focuses on the development and functional distribution of indefinite pronouns in Old East Slavic, taking into account different sources, genres and registers. All the examples in the collected dataset were taken from the historical modules of the Russian National Corpus. They were tagged for type of indefinite marker, source (including originality and date), type of reference of the indefinite marker, semantics, type of discourse, and the degree of formality (formal or informal) present in the context. We then applied both descriptive and inferential statistical methods such as Random Forest analysis as well as multinomial logistic regression. Our analysis enabled us to identify the primary and secondary predictors of the choice of a particular indefinite marker and to trace the functional distribution of indefinite markers according to these factors.


2020 ◽  
Author(s):  
Leonard Daniël Samson ◽  
A. Mieke H. Boots ◽  
José A. Ferreira ◽  
H. Susan J. Picavet ◽  
Lia G. H. De Rond ◽  
...  

Abstract Background: With advancing age, the composition of leukocyte subpopulations in peripheral blood is known to change, but how this change differs between men and women and how it relates to frailty is poorly understood. Thus, our aim in this exploratory study was to investigate whether frailty is associated with changes in immune cell subpopulations and whether associations differ between men and women. Therefore, we performed in-depth immune cell phenotyping by enumerating a total of 37 subsets of T cells, B cells, NK cells, monocytes, and neutrophils in peripheral blood of 289 elderly people between 60-87 years of age. Associations between frailty and each immune cell subpopulation were tested separately in men and women and were adjusted for age and CMV serostatus. In addition, a random forest algorithm was used to predict a participant’s frailty score based on enumeration of immune cell subpopulations. Results: In an association study, frailty was observed to be associated with increases in numbers of neutrophils in both men and in women. Furthermore, sex-specific associations were found. Frailer women, but not men, showed higher numbers of total and CD16^-^ monocytes and lower numbers of CD56^+^ T cells. Overall, the accuracy of the predictions in the random forest analysis was low (9.2% explained variance in men and 12.2% in women). Yet, the random forest analysis confirmed all associations mentioned above, but did not confirm a possible negative association in women between frailty and late differentiated CD4^+^ TemRA cells. Moreover, the random forest analysis revealed additional relationships with frailty, with frailer men showing higher CD16^+^ monocyte and lower naïve B cell numbers. Other important variables for predicting frailty were plasmablast numbers in men and total T cell numbers in women. Conclusions: We report on observed associations of frailty with elevated myeloid cell numbers in men and women. In-depth immune cellular profiling also revealed sex-specific associations of frailty with several immune subpopulations. However, an expected positive association between frailty and memory T cells was not observed. We hope that our study will prompt further investigation into the immune mechanisms associated with the development of frailty in men and women.


Sign in / Sign up

Export Citation Format

Share Document