Results 51 to 60 of about 74,936 (290)

Accurate prediction of blast-induced ground vibration intensity using optimized machine learning models

open access: yesDefence Technology
Blast-induced ground vibration, quantified by peak particle velocity (PPV), is a crucial factor in mitigating environmental and structural risks in mining and geotechnical engineering.
Lihua Chen   +5 more
doaj   +1 more source

Magnetic resonance imaging and ultrasound for prediction of residual tumor size in early breast cancer within the ADAPT subtrials

open access: yesBreast Cancer Research, 2021
Background Prediction of histological tumor size by post-neoadjuvant therapy (NAT) ultrasound and magnetic resonance imaging (MRI) was evaluated in different breast cancer subtypes.
Monika Graeser   +24 more
doaj   +1 more source

On the use of fractional Brownian motion simulations to determine the 3D statistical properties of interstellar gas

open access: yes, 2003
Based on fractional Brownian motion (fBm) simulations of 3D gas density and velocity fields, we present a study of the statistical properties of spectro-imagery observations (channel maps, integrated emission, and line centroid velocity) in the case of ...
Baker P. L.   +14 more
core   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi   +9 more
wiley   +1 more source

Chaos Game Optimization-Hybridized Artificial Neural Network for Predicting Blast-Induced Ground Vibration

open access: yesApplied Sciences
In this study, we introduced the chaos game optimization-artificial neural network (CGO-ANN) model as a novel approach for predicting peak particle velocity (PPV) induced by mine blasting.
Shugang Zhao, Liguan Wang, Mingyu Cao
doaj   +1 more source

Prediction-based classification for longitudinal biomarkers

open access: yes, 2010
Assessment of circulating CD4 count change over time in HIV-infected subjects on antiretroviral therapy (ART) is a central component of disease monitoring.
Azzoni, Livio   +6 more
core   +1 more source

Functional haemodynamic monitoring: the relative merits of SVV, SPV and PPV as measured by the LiDCOrapid in predicting fluid responsiveness in high-risk surgical patients [PDF]

open access: yesCritical Care, 2011
Standard anaesthetic practice in the high-risk surgical patient is to insert invasive arterial and central venous catheters and then to use ΔCVP and ΔMAP to guide fluid therapy, despite an accumulation of evidence to suggest that filling pressures are inadequate predictors of fluid status and responsiveness.
Willars, C, Dada, A, Green, D
openaire   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

IAPN: a simple framework for evaluating whether a population-based risk stratification tool will be cost-effective before implementation

open access: yesCost Effectiveness and Resource Allocation
Risk prediction tools are widely used in healthcare to identify individuals at high risk of adverse events who may benefit from proactive interventions.
Steven Wyatt   +2 more
doaj   +1 more source

Prevalence of Systemic Lupus Erythematosus in Australia, 2010–2022: A Population‐Based Study Using Linked National Administrative Health Data

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition with widely varying global prevalence estimates. The frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the United States or United Kingdom, at 19 to 39 per 100,000 as opposed ...
Lucinda Roper   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy