Results 211 to 220 of about 166,031,618 (286)

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Validation of Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric Measures for Children With Chronic Nonbacterial Osteomyelitis

Arthritis Care &Research, EarlyView.
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, Eveline Y. Wu, Melissa Oliver, Joshua Scheck, Sivia Lapidus, Ummusen Kaya Akca, Shima Yasin, Aleksander Lenert, Sara Stern, Antonella Insalaco, Manuela Pardeo, Gabriele Simonini, Edoardo Marrani, Xing Wang, Bin Huang, Leonard K. Kovalick, Natalie Rosenwasser, Erin Balay‐Destrude, Gabriel Casselman, Adriel Liau, Ava Klein, Yurong Shao, Claire Yang, Molly Briggs, Ethan Mueller, Emily Deng, Paige Rhiannon Trunnell, Iris Hamilton, Elise Machrone, Doaa Mosad Mosa, Lori Tucker, Hermann Girschick, Ronald M. Laxer, Georgina Tiller, Jonathan Akikusa, Christian M. Hedrich, Karen Onel, Fatma Dedeoglu, Marinka Twilt, Seza Ozen, Polly J. Ferguson, Laura Schanberg, Bryce B. Reeve, Yongdong Zhao   +43 more
wiley   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Microvascular damage is associated with carotid wall structural changes in Systemic Sclerosis: a capillaroscopy and ultrasound‐based observational study

Arthritis Care &Research, Accepted Article.
Introduction Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli, Luca Clerici, Francesco Lapia, Giusy C. Moltisanti, Eleonora Zaccara, Greta Pellegrino, Daniela Bompane, Francesca Capelli, Letizia Ferrami, Laura Castelnovo, Antonio Tamburello, Maria Sole Chimenti, Paola Faggioli, Antonino Mazzone   +13 more
wiley   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

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Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test

Biometrics, 2020
Evaluating the goodness of fit of logistic regression models is crucial to ensure the accuracy of the estimated probabilities. Unfortunately, such evaluation is problematic in large samples.
Giovanni Nattino
exaly   +2 more sources

Goodness-of-Fit

, 2022
Goodness-of-fit.
Gábor J. Székely, Maria L. Rizzo
core   +3 more sources

Goodness of Fit

IEEE Software, 2006
It appears to be with software architectures: for a given domain, even across the decades, forces are at play that are best resolved by a common architectural pattern that allows variants. One architectural style might be deemed "better" than another for that domain because it better resolves those forces. In that sense, there's a goodness of fit - not
Fred Campano, Dominick Salvatore
  +5 more sources

Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and Set-ESEM: Optimal Balance Between Goodness of Fit and Parsimony

Multivariate Behavioral Research, 2020
CFAs of multidimensional constructs often fail to meet standards of good measurement (e.g., goodness-of-fit, measurement invariance, and well-differentiated factors).
H. Marsh, Jiesi Guo, Theresa Dicke, P. Parker, R. Craven   +4 more
semanticscholar   +1 more source

Smooth Tests of Goodness of Fit

Technometrics, 1991
AbstractSmooth tests of goodness of fit assess the fit of data to a given probability density function within a class of alternatives that differs ‘smoothly’ from the null model. These alternatives are characterized by their order: the greater the order the richer the class of alternatives. The order may be a specified constant, but data‐driven methods
Rayner, J. C. W., Thas, O., Best, D. J.
openaire   +2 more sources