Results 11 to 20 of about 161,172 (233)
Aggressive Behavior, Volume 49, Issue 1, Page 5-14, January 2023., 2023 Abstract This study uses longitudinal data from the UK Millennium Cohort Study (N = 13,277) to examine the childhood and early adolescence factors that predict weapon involvement in middle adolescence, which in this study is exemplified by having carried or used a weapon.
Aase Villadsen, Emla Fitzsimons
wiley +1 more source
Well‐being on supportive techniques in amyotrophic lateral sclerosis: from neurologists' perspective
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1874-1883, December 2022., 2022 Abstract Objective To investigate intercultural neurologists' perception of well‐being in patients with amyotrophic lateral sclerosis (ALS) using gastrostomy (PEG), non‐invasive, and/or invasive ventilation (NIV/IV) and to analyse the determinants and impact on the management of the above medical interventions (MIs).
Krzysztof Barć +7 more
wiley +1 more source
A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1884-1897, December 2022., 2022 Abstract Objective Accumulation evidence has reported that olfactory impairment may be an essential clinical marker and predictor of mild cognitive impairment or Alzheimer's disease. Method Participants were enrolled in the population‐based, prospective study in Fuxin county, Liaoning province, China between 2019 and 2021.
Jiayi Song +11 more
wiley +1 more source
Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1898-1909, December 2022., 2022 Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ ...
Hisashi Nojima +9 more
wiley +1 more source
Brain magnetic resonance imaging predictors in anti‐N‐methyl‐D‐aspartate receptor encephalitis
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1974-1984, December 2022., 2022 Abstract Objective Brain magnetic resonance imaging (MRI) findings in anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis are nonspecific and rarely have obvious associations with clinical characteristics and outcomes. This study aimed to comprehensively describe the MRI features of patients with NMDAR encephalitis, examine their associations with ...
Ying‐Ying Zhao +8 more
wiley +1 more source
Fast binary logistic regression [PDF]
PeerJ Computer ScienceThis study presents a novel numerical approach that improves the training efficiency of binary logistic regression, a popular statistical model in the machine learning community.
Nurdan Ayse Saran, Fatih Nar
doaj +2 more sources
The Origins of Logistic Regression [PDF]
SSRN Electronic Journal, 2003 This paper describes the origins of the logistic function, its adoption in bio-assay, and its wider acceptance in statistics. Its roots spread far back to the early 19th century; the survival of the term logistic and the wide application of the device have been determined decisively by the personal histories and individual actions of a few scholars.
openaire +4 more sources
Privacy-preserving logistic regression training
BMC Medical Genomics, 2018 Background Logistic regression is a popular technique used in machine learning to construct classification models. Since the construction of such models is based on computing with large datasets, it is an appealing idea to outsource this computation to a
Charlotte Bonte, Frederik Vercauteren
doaj +1 more source
Predicting Heart Disease using Logistic Regression
Knowledge Engineering and Data Science, 2022 A common risk of death is caused by heart disease. It is critical in the field of medicine to be able to diagnose cardiac disease in order to adequately prevent and treat patients.
Mochammad Anshori, M. Syauqi Haris
doaj +1 more source
Fuzzy Semi-Parametric Logistic Quantile Regression Model
Wasit Journal for Pure Sciences, 2023 In this paper, the fuzzy semi-parametric logistic quantile regression model was studied in the absence of special conditions in the classical regression models.
Ahmed Razzaq, Ayad H. shemaila
doaj +1 more source