Results 71 to 80 of about 208,599 (260)

Machine learning-based modeling of acute respiratory failure following emergency general surgery operations.

PLoS ONE, 2022
BackgroundEmergency general surgery (EGS) operations are associated with substantial risk of morbidity including postoperative respiratory failure (PRF).
Joseph Hadaya, Arjun Verma, Yas Sanaiha, Ramin Ramezani, Nida Qadir, Peyman Benharash   +5 more
doaj   +1 more source

Prognostic Implications of Sleep Architecture for Patients Admitted to the Intensive Care Unit With Status Epilepticus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu, Marcus C. Ng, Gavin P. Winston, Sabrina Schaly, Garima Shukla, Lysa Boissé Lomax   +5 more
wiley   +1 more source

Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models

BMC Bioinformatics, 2008
Background Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome.
Lin Xihong, Ghosh Debashis, Liu Dawei
doaj   +1 more source

Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables [PDF]

The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous ...
Bergtold, Jason S., Spanos, Aris
core   +1 more source

Group Lasso for generalized linear models in high dimension [PDF]

, 2013
Nowadays an increasing amount of data is available and we have to deal with models in high dimension (number of covariates much larger than the sample size).
Blazère, Mélanie, Gamboa, Fabrice, Loubes, Jean-Michel   +2 more
core   +4 more sources

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

MODELAGEM NÃO LINEAR DA RELAÇÃO HIPSOMÉTRICA E DO CRESCIMENTO DAS ÁRVORES DOMINANTES E CODOMINANTES DE Eucalyptus sp.

Ciência Florestal, 2017
This work aimed to evaluate linear and nonlinear, classical and generalized models with the addition of covariates for modeling the hypsometric relation and the height growth of dominant and codominant trees of eucalypt clones.
Elliezer de Almeida Melo, Natalino Calegario, Adriano Ribeiro de Mendonça, Ernani Lopes Possato, Joyce de Almeida Alves, Marcos Antonio Isaac Júnior   +5 more
doaj  

Bankruptcy Prediction of Small and Medium Enterprises Using a Flexible Binary Generalized Extreme Value Model [PDF]

, 2013
We introduce a binary regression accounting-based model for bankruptcy prediction of small and medium enterprises (SMEs). The main advantage of the model lies in its predictive performance in identifying defaulted SMEs.
Calabrese, Raffaella, Marra, Giampiero, Osmetti, Silvia Angela   +2 more
core  

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

Axiomatic Interpretability for Multiclass Additive Models

, 2019
Generalized additive models (GAMs) are favored in many regression and binary classification problems because they are able to fit complex, nonlinear functions while still remaining interpretable.
Caruana, Rich, Chajewska, Urszula, Koch, Paul, Lou, Yin, Tan, Sarah, Zhang, Xuezhou   +5 more
core   +1 more source