Results 81 to 90 of about 15,186,604 (295)
BackgroundThere has been a notable increase in the utilisation of SWEMWBS as a measure of mental well-being globally. To enhance its interpretability for both healthcare professionals and laypeople, categorising SWEMWBS scores is considered beneficial ...
Lawrence T. Lam +3 more
doaj +1 more source
Area Under Curve (AUC) analysis of plasma biomarkers.
Area Under Curve (AUC) and 95% confidence interval in brackets was listed. AUCs with significant predictive values were in bold.
Xinxin Zhang (309944) +11 more
core +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma +16 more
wiley +1 more source
The proposed research introduces a novel steganalytic tactic termed the Imbalanced Maximizing-AUC Proximal Support Vector Machine (PSVM). This method strengthens detection performance in the presence of imbalanced datasets by integrating AUC maximization
Xinpan LI
doaj +1 more source
Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling [PDF]
ABSTRACTAim The area under the receiver operating characteristic (ROC) curve (AUC) is a widely used statistic for assessing the discriminatory capacity of species distribution models. Here, I used simulated data to examine the interdependence of the AUC and classical discrimination measures (sensitivity and specificity) derived for the application of ...
openaire +1 more source
Stanford decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).
Stanford decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).
Barry Devereux (7387685) +3 more
core +1 more source
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song +10 more
wiley +1 more source
Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino +25 more
wiley +1 more source
Background: Diarrhea is a common health problem worldwide, with causes ranging from microbial infections to gastrointestinal disorders. Conventional diarrhea treatments usually involve synthetic drugs, but medicinal plant-based therapies, such as those ...
Khrisna Agung Cendekiawan +3 more
doaj +1 more source

