Results 31 to 40 of about 127,696,973 (248)

Area under curve (AUC) values of qualitative parameters of glottis.

open access: yes, 2023
Area under curve (AUC) values of qualitative parameters of glottis.
Adeena Khan (17304816)   +3 more
core   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito   +7 more
wiley   +1 more source

Nonparametric bootstrap methods for interval estimation of the area under the ROC curve with correlated diagnostic test data: application to whole-virus ELISA testing in swine

open access: yesFrontiers in Veterinary Science, 2023
Developing and evaluating novel diagnostic assays are crucial components of contemporary diagnostic research. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) are frequently used to evaluate diagnostic assays ...
Jinji Pang   +8 more
doaj   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Area Under Curve Receiver Operator Characteristic (AUC/ROC).

open access: yes, 2023
Area Under Curve Receiver Operator Characteristic (AUC/ROC) of the model achieving the highest accuracy (Fig 8, Model H) on the test set. (PNG)
David Harris-Birtill (4521286)   +5 more
core   +1 more source

Towards non-invasive diagnosis of glioblastoma: identifying metabolic biomarkers in liquid biopsies using a ROC-based approach

open access: yesDiscover Oncology
For over seven decades, the World Health Organization (WHO) has classified central nervous system tumors primarily based on histological criteria. While recent updates have incorporated molecular genetics and histochemistry, this approach still overlooks
Margareth Borges Coutinho Gallo
doaj   +1 more source

Comparing the Relative Efficacy of Generalized Estimating Equations, Latent Growth Curve Modeling, and Area Under the Curve with a Repeated Measures Discrete Ordinal Outcome Variable

open access: yesStats
Researchers are often interested in how changes in one variable influence changes in a second variable, requiring the repeated measures of two variables.
Daniel Rodriguez   +2 more
doaj   +1 more source

A molecular computational model improves the preoperative diagnosis of thyroid nodules

open access: yesBMC Cancer, 2012
Background Thyroid nodules with indeterminate cytological features on fine needle aspiration (FNA) cytology have a 20% risk of thyroid cancer. The aim of the current study was to determine the diagnostic utility of an 8-gene assay to distinguish benign ...
Tomei Sara   +8 more
doaj   +1 more source

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

open access: yesFEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg   +14 more
wiley   +1 more source

The estimated optimism-corrected area under the receiver operating characteristic curve (OC-AUC-ROC), for predictive models developed by different machine learning algorithms and feature selection methods.

open access: yes, 2022
The estimated optimism-corrected area under the receiver operating characteristic curve (OC-AUC-ROC), for predictive models developed by different machine learning algorithms and feature selection methods.
Reza Yaesoubi (207900)   +9 more
core   +1 more source

Home - About - Disclaimer - Privacy