Results 121 to 130 of about 1,258,420 (289)
Abstract Background Tooth extraction is one of the most common irreversible treatment options in dentistry, and it may lead to complex emotional responses such as patient regret. This study aimed to assess the extent of decisional regret among patients who underwent tooth extraction due to periodontal disease and to identify associated influencing ...
Kyung‐A Ko +5 more
wiley +1 more source
ABSTRACT This study explored the association between the composite dietary antioxidant index (CDAI) and cardiovascular‐kidney‐metabolic (CKM) progression in an older population. Using data from NHANES 2001–2020, we analyzed 4974 adults aged ≥ 60 years with CKM syndrome. The CDAI was calculated from the intake of six dietary antioxidants.
Fu‐Shan Qiu +3 more
wiley +1 more source
DAG-Based Swarm Learning Approach in Healthcare: A Survey
Healthcare systems are advancing at a rapid pace as a result of new technologies to address several issues in the sector such as shortage of skilled health workers and to deal with new diseases like COVID-19.
David Gana, Faisal Jamil
doaj +1 more source
Mind the Gap: Predictors of Osteoporosis Treatment Following Fragility Fracture in Parkinsonism
Abstract Background Fracture risk is increased in Parkinson's yet this risk is often not addressed. Objectives Our objective was to study the extent to which osteoporosis was treated, and predictors of treatment in a large representative cohort with parkinsonism.
Katie C. Naylor +2 more
wiley +1 more source
Sparse nested Markov models with log-linear parameters
Hidden variables are ubiquitous in practical data analysis, and therefore modeling marginal densities and doing inference with the resulting models is an important problem in statistics, machine learning, and causal inference.
Robins, James +7 more
core +1 more source
Abstract Background Ursodeoxycholic acid (UDCA) has shown mitochondrial and neuroprotective effects and has been proposed as a treatment for Parkinson's disease (PD). However, population‐level evidence on its effect on PD risk is lacking. Objectives To compare the risk of incident PD among UDCA initiators versus matched non‐initiators within a ...
Chengsheng Ju +7 more
wiley +1 more source
Reasoning with Alternative Acyclic Directed Mixed Graphs
Acyclic directed mixed graphs (ADMGs) are the graphs used by Pearl (Causality: models, reasoning, and inference. Cambridge University Press, Cambridge, 2009) for causal effect identification.
Peña, Jose M., +2 more
core +1 more source
Boronic Acid Inhibitors of β‐Lactamases: A Promising Strategy Against Antimicrobial Resistance
ABSTRACT The rise of antimicrobial resistance (AMR) poses a critical threat to global health, mostly due to the proliferation of β‐lactamases, a class of enzymes responsible for the inactivation of β‐lactam antibiotics. Among the most promising strategies to restore β‐lactam efficacy is the use of β‐lactamase inhibitors (BLIs), with boronic acid ...
Nicolò Santi +4 more
wiley +1 more source
Abstract Background When critically ill patients receiving enteral nutrition (EN) develop diarrhea, clinicians often reduce or discontinue EN, although evidence supporting this practice is limited. We examined the association between EN management after diarrhea and diarrhea volume in critical care patients.
Ryohei Yamamoto +4 more
wiley +1 more source
Directed Acyclic Graph Convolutional Networks
Directed acyclic graphs (DAGs) are central to science and engineering applications including causal inference, scheduling, and neural architecture search. In this work, we introduce the DAG Convolutional Network (DCN), a novel graph neural network (GNN) architecture designed specifically for convolutional learning from signals supported on DAGs.
Samuel Rey +2 more
openaire +2 more sources

