Results 131 to 140 of about 474,933 (300)
The Areas Under Curves (AUC) used in diabetes research: Update view [PDF]
Cheng KC, Li Y, Cheng JT
openaire +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
A new confidence interval based on the theory of U-statistics for the area under the curve
The area under the receiver operating characteristic curve (AUC) is a suitable measure for the quality of classification algorithms. Here we use the theory of U-statistics in order to derive new confidence intervals for it.
Jürgen Kampf +4 more
doaj +1 more source
Comparison of the performance of the models using area under the curve (AUC) of ROC.
Comparison of the performance of the models using area under the curve (AUC) of ROC.
Arjun Parthipan (6307895) +6 more
core +1 more source
A molecular shielding strategy to convert “protein‐sticky” and “non‐tumor specific” clinical ICG dye, into a “low protein binding” and “tumor‐targeting” dye with prolonged blood circulation and renal clearance is described. These shielded ICGs demonstrate strong tumor accumulation and optimal tissue clearance, resulting in high tumor‐to‐background ...
Li Xiang +9 more
wiley +1 more source
Yuhei Hatakenaka,1,2 Hitoshi Ninomiya,3 Eva Billstedt,2 Elisabeth Fernell,2 Christopher Gillberg2 1Kochi Gillberg Neuropsychiatry Centre, Kochi Prefectural Medical and Welfare Center, Kochi, Japan; 2Gillberg Neuropsychiatry Centre, Sahlgrenska Academy ...
Hatakenaka Y +4 more
doaj
PresenceAbsence: An R Package for Presence Absence Analysis
The PresenceAbsence package for R provides a set of functions useful when evaluating the results of presence-absence analysis, for example, models of species distribution or the analysis of diagnostic tests.
Elizabeth A. Freeman, Gretchen Moisen
core
AUC (Area Under Curve) values (mean±standard deviation) for the different connectivity methods.
AUC (Area Under Curve) values (mean±standard deviation) for the different connectivity methods.
Sergio Martinoia (299725) +3 more
core +1 more source
Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization
We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat +3 more
wiley +1 more source
PCN92 An Investigation of Estimation Efficiency of Area UNDER the Curve (AUC) Using Parametric Models [PDF]
S. I. Manjula, D.B.C. Wu
openaire +1 more source

