Results 61 to 70 of about 127,696,973 (248)
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Area Under the Curve (AUC) values after MaxEnt.
, 2014 Area Under the Curve (AUC) values after MaxEnt.
Victor Sanchez-Cordero (5659030) +5 more
core +1 more source
EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems
SensorsEffective network intrusion detection using anomaly scores from unsupervised machine learning models depends on the performance of the models. Although unsupervised models do not require labels during the training and testing phases, the assessment of ...
Kevin Z. Bai, John M. Fossaceca
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
HIV-1 RNA, Area Under the Curve (AUC) During TI.
, 2016 HIV-1 RNA, Area Under the Curve (AUC) During TI.
Brandon F. Keele (50342) +13 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Ecosphere, 2017 Understanding species–habitat relationships for endangered species is critical for their conservation. However, many studies have limited value for conservation because they fail to account for habitat associations at multiple spatial scales ...
Wesley J. Glisson +3 more
doaj +1 more source
1391. Vancomycin Area Under the Curve (AUC) to Predict Nephrotoxicity: A Systematic Review and Meta-Analysis of Observational Studies [PDF]
Open Forum Infectious Diseases, 2018 Abstract Background Recent studies have proposed monitoring vancomycin area under the curve (AUC) as a more precise method of attaining goal exposures compared with trough monitoring. Different dosing methods and different exposure-toxicity thresholds have been proposed. Therefore, we aimed to analyze
Aljefri, Doaa +4 more
openaire +1 more source
Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon +5 more
wiley +1 more source