Results 121 to 130 of about 302,402 (283)
Biostatistics and Epidemiology for the Toxicologist: Rock the ROC Curve. [PDF]
Trebach J, Su MK.
europepmc +1 more source
This study developes a universal colorimetric ICA platform that integrates broad‐spectrum recognition by 4‐mercaptophenylboronic acid with dual signal enhancement—both colorimetric and catalytic—mediated by a biomimetic magnetic nanozyme. This platform, for the first time, enables simple, convenient, ultrasensitive, and simultaneous screening of ...
Qing Yu+7 more
wiley +1 more source
On the exact interval estimation for the difference in paired areas under the ROC curves [PDF]
Chi‐Rong Li+2 more
openalex +2 more sources
Background and Objectives: Gestational Diabetes Mellitus (GDM) is the most common metabolic disorder in pregnancy. In case of early detection, some of its complications can be prevented. The aim of this study was to investigate early prediction of GDM by
M Rezaei+3 more
doaj
Estimating the area under the ROC curve when transporting a prediction model to a target population. [PDF]
Li B+3 more
europepmc +1 more source
Multiple comparisons with the best ROC curve [PDF]
Jason C. Hsu+4 more
openalex +1 more source
Drug Resistance Predictions Based on a Directed Flag Transformer
CAPTURE, a deep learning framework combining structural and sequence data to predict drug‐resistant Mpro mutations, revealing that PAXLOVID use may be accelerating resistance—supporting real‐time viral surveillance and therapeutic design. Abstract The evolving SARS‐CoV‐2 virus threatens global public health, particularly with potential resistance to ...
Dong Chen+8 more
wiley +1 more source
Time-Dependent ROC Curve Analysis for Assessing the Capability of Radiation-Induced CD8 T-Lymphocyte Apoptosis to Predict Late Toxicities after Adjuvant Radiotherapy of Breast Cancer Patients. [PDF]
Touraine C+4 more
europepmc +1 more source
Re: The Central Role of Receiver Operating Characteristic (ROC) Curves in Evaluating Tests for the Early Detection of Cancer [PDF]
Stefano Parodi+2 more
openalex +1 more source
A novel RBC indicator, ESI, is better than the traditional RBC indicators and is associated with CHF prevalence and in‐hospital death. RBC membrane lipidomics, Cer 18:0;O2/16:0, and LPE 18:0, are associated with plasma volume overload and MACE in CHF patients, but these plasma lipids could not.
Lin Zhang+12 more
wiley +1 more source