Results 11 to 20 of about 388,843 (271)

Stratification of preterm birth risk: peculiarities

open access: yesAnaliz Riska Zdorovʹû, 2020
According to the official statistics, in Perm region a number of preterm births (PB) has declined by 1.5% over the last 10 years; however, PB is still a leading cause for neonatal mortality.
M.M. Padrul'   +3 more
doaj   +1 more source

Performance and agreement of risk stratification instruments for postoperative delirium in persons aged 50 years or older.

open access: yesPLoS ONE, 2014
Several risk stratification instruments for postoperative delirium in older people have been developed because early interventions may prevent delirium.
Carolien J Jansen   +4 more
doaj   +1 more source

A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression

open access: yesAnnals 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

CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams [PDF]

open access: yesarXiv, 2023
Early identification of high risk heart failure (HF) patients is key to timely allocation of life-saving therapies. Hemodynamic assessments can facilitate risk stratification and enhance understanding of HF trajectories. However, risk assessment for HF is a complex, multi-faceted decision-making process that can be challenging. Previous risk models for
arxiv  

Vascular endothelial‐cadherin as a marker of endothelial injury in preclinical Alzheimer disease

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1926-1940, December 2022., 2022
Abstract Objective Endothelial dysfunction is an early and prevalent pathology in Alzheimer disease (AD). We here investigate the value of vascular endothelial‐cadherin (VEC) as a cerebrospinal fluid (CSF) marker of endothelial injury in preclinical AD.
Rawan Tarawneh   +5 more
wiley   +1 more source

COVID‐19 and the risk of Alzheimer's disease, amyotrophic lateral sclerosis, and multiple sclerosis

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1953-1961, December 2022., 2022
Abstract Background The coronavirus disease 2019 (COVID‐19) pandemic has had an unprecedented impact on the healthcare system, economy, and society. Studies have reported that COVID‐19 may cause various neurologic symptoms, including cognitive impairment.
Hanyu Zhang, Zengyuan Zhou
wiley   +1 more source

Multinomial Backtesting of Distortion Risk Measures [PDF]

open access: yesarXiv, 2022
We extend the scope of risk measures for which backtesting models are available by proposing a multinomial backtesting method for general distortion risk measures. The method relies on a stratification and randomization of risk levels. We illustrate the performance of our methods in numerical case studies.
arxiv  

Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients [PDF]

open access: yesarXiv, 2023
Diagnostic investigation has an important role in risk stratification and clinical decision making of patients with suspected and documented Coronary Artery Disease (CAD). However, the majority of existing tools are primarily focused on the selection of gatekeeper tests, whereas only a handful of systems contain information regarding the downstream ...
arxiv  

A Rational Evaluation of the Syncope Patient: Optimizing the Emergency Department Visit

open access: yesMedicina, 2021
Syncope accounts for up to 2% of emergency department visits and results in the hospitalization of 12–86% of patients. There is often a low diagnostic yield, with up to 50% of hospitalized patients being discharged with no clear diagnosis.
Tarek Hatoum, Robert S. Sheldon
doaj   +1 more source

Simple and near-optimal algorithms for hidden stratification and multi-group learning [PDF]

open access: yesarXiv, 2021
Multi-group agnostic learning is a formal learning criterion that is concerned with the conditional risks of predictors within subgroups of a population. The criterion addresses recent practical concerns such as subgroup fairness and hidden stratification.
arxiv  

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