Results 101 to 110 of about 3,858,494 (262)
Correlations between the scores on the 5 subscales in the combined EMPATHY scale score, using Spearman’s rank correlation coefficient.
Jodi Goodrick (739074) +12 more
core +1 more source
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong +10 more
wiley +1 more source
This paper presents a tri-level many-objective optimization (TLMaO) approach to provide a final solution for many-objective optimization problems (MaOPs).
J. H. Zheng +3 more
doaj +1 more source
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns +2 more
wiley +1 more source
Introduction: This study examined the correlation between dental health indicators and cooperative behavior in children aged 36–72 months. Methods: A cross-sectional study was conducted on children visiting Vietnam National Children’s Hospital and the ...
Pham Quoc Khanh +5 more
doaj +1 more source
Objective To assess the validity of the Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert +43 more
wiley +1 more source
Radiographic Analysis of Scoliosis Using Convolutional Neural Network in Clinical Practice
Purpose To assess the reliability and accuracy of an automated Cobb angle measurement (ACAM) using a convolutional neural network (CNN) for scoliosis evaluation and to compare measurement times.
Ha Yun Oh +5 more
doaj +1 more source
Spearman’s rank correlation matrix for the imaging parameters.
Spearman’s rank correlation matrix for the imaging parameters.
Pierre-Jean Le Reste (4070179) +7 more
core +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

