Results 131 to 140 of about 1,474,584 (283)

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

Precisiones en la teoría de los modelos logísticos

Revista Colombiana de Estadística, 2006
Se estudian los modelos logísticos, como una clase de modelos lineales generalizados (MLG). Se demuestra un teorema sobre la existencia y unicidad de las estimaciones de máxima verosimilitud (abreviadas por ML) de los parámetros logísticos y el método ...
HUMBERTO JESÚS LLINÁS
doaj  

Statistical Analysis of a Generalized Linear Model for Bilateral Correlated Data Under Donner’s Model

Axioms
Paired data often arise in medical studies, with a correlation between responses of paired organs or parts. Under an intra-correlated model, this paper proposes a generalized linear model to investigate probable confounding factors of the individual ...
Jinlong Cheng, Zhiming Li, Keyi Mou
doaj   +1 more source

Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and Uncertainty. [PDF]

Front Microbiol, 2021
Hiura S, Abe H, Koyama K, Koseki S.
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges. [PDF]

STAR Protoc, 2021
Vaccari FE, Diomedi S, Filippini M, Galletti C, Fattori P.   +4 more
europepmc   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

Serum Levels of Mitochondrial Fission- and Fusion-Related Genes of Coal Workers' Pneumoconiosis and Risk Factor Analysis Based on a Generalized Linear Model. [PDF]

Appl Bionics Biomech, 2022
Li XY, Wei JL, Xie YX, Zhao J, Ma LY, Zhang N, Yang HF.   +6 more
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

ACCURACIES IN THE THEORY OF THE LOGISTIC MODELS PRECISIONES EN LA TEORÍA DE LOS MODELOS LOGÍSTICOS

Revista Colombiana de Estadística, 2006
The logistic models are studied, as a kind of generalized lineal models. A theorem is showed about existence and uniqueness of ML-estimates of the estimation of the logistic regression coefficients and the method in order to calculate it. According to an
Llinás Humberto Jesús
doaj