... This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract Objective This study aimed to develop and validate a risk prediction model for 1-year CKD progression...

...-rights ) Abstract Conformal prediction builds marginally valid prediction intervals that cover the unknown outcome of a randomly drawn test point with a prescribed probability. However, in practice, data-driven methods are often used to identify specific test unit(s) of interest, requiring uncertainty...

... of the brain’s intrinsic functional architecture. connectome general cognitive ability graph theory multivariate predictive modeling resting state fMRI [P]icture the human brain as a vast manufactory, in which thousands of looms, of complex and differing patterns, are habitually at work—Fredric...

... the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract Both the absence of a predicted stimulus and the unexpected presentation of another stimulus result in increased activation in the areas processing...

... and error-prone. Previous studies suggested that spot urine phosphate (uPi) could serve as a practical substitute to predict 24hUrP, however, these data originated only from patients with chronic kidney disease. Here, we investigated the validity of predictive equations using spot urine parameters to assess...

... Abstract Recognizing the specific complexities of vessel traffic flow, this comprehensive survey exclusively addresses the predictive modeling in maritime transportation, tracing the evolution from conventional statistical approaches to modern artificial intelligence (AI) techniques. The survey examines...

.... Conclusions Ultra represents a valuable tool for rapid RR-TB detection; however, in low prevalence settings its low positive predictive value for RR detection is largely driven by samples with very low bacillary loads. As programs expand active case-finding and early detection of asymptomatic disease...

... and prevention and the second responsible for developing a LOE grading system for diagnosis and prediction. This report from the second of these Task Forces develops a new system for diagnostic tests and prediction models which maintains the three-level grading structure to classify the quality of the evidence...

... case studies with COVID-19 mortality data to illustrate the applications of the proposed model in different modelling scenarios. expert elicitation generalized additive model Metropolis-Hastings-within-Gibbs predictive imputation spline functions Research Grants Council of the Hong Kong Special...

... reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background We investigate which procedure selects the most trustworthy predictive model to explain the effect of an intervention and support decision-making. Methods We study a large...

... simple questionnaire-based variables. Methods and results Using a derivation cohort of 3734 Chinese participants aged ≥40 years, we developed the ECG-based models to predict the risk of developing CVD (comprising fatal and non-fatal coronary heart disease, unstable angina, stroke, and heart failure...

... ) Abstract Objective This scoping review aimed to identify predictive factors influencing gait recovery post-hip fracture surgery among adults aged 65 and older. Design A systematic search of MEDLINE, Embase and CINAHL databases was conducted, focusing on studies assessing predictive factors of gait...

... under the proposed adverse conditions for further prediction of the bacterial behavior and AA inhibition efficacy. The most common reservoir of Salmonella is the host’s gastrointestinal tract (GIT) (Álvarez-Ordóñez et al. 2012 ), where these pathogens can survive under adverse environmental...

.../licenses/by/4.0/ ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Objectives While performance drift of clinical prediction models is well-documented, the potential for algorithmic biases to emerge post-deployment...

... the Human Connectome Project’s Young Adults dataset, including functional magnetic resonance imaging (fMRI) and behavioral data, to perform connectome-based predictive modeling (CPM) restricted to cerebellocerebral connectivity of resting-state fMRI and task-based fMRI. We developed a Python-based open...

... to develop a computational classification model for predicting the release of interferon-gamma based on the peptide sequence and the MHC class II (MHC-II) allele pseudo-sequence, which represents the binding environment of the MHC-II molecule. The dataset used in this study was obtained from the Immune...

... predictors selected based on the minimum criteria (min. criteria) and the criteria of one standard error above the minimum (1-SE criteria). Fig. 3 Nomogram to predict the probability of depression in patients with stroke. Fig. 1 Flow chart of the study. Fig. 6 Decision curve analysis of the nomogram...

... to determine the energy content and amino acid ( AA ) digestibility of 10 brewer’s spent grain ( BSG ) for growing pigs, with the goal of developing predictive models for these digestible nutrients based on their chemical composition. In Exp. 1, 66 crossbred barrows (initial body weight ( BW ): 35.5 ± 4.5 kg...

... using magnetic bead sorting, followed by individual polymerase chain reaction testing. Receiver operating characteristic curve analysis identified subtype-specific cutoffs for EBV-HLH prediction. Kaplan-Meier and Cox regression analyses assessed viral load-HLH risk associations. Results Patients...

... Predictive regressions are an important tool in empirical finance. Under persistent predictors and so-called predictive regression endogeneity, OLS-based estimators and tests exhibit nonnormal limiting distributions. M estimators in such predictive regressions inherit these traits. The limiting distributions...