Results 141 to 150 of about 580,854 (312)
nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards [PDF]
ROC analysis is a standard method for estimating and comparing diagnostic tests' accuracies when the gold standard is binary. However, there are many situations when the gold standard is not binary.
Paul Nguyen
core
Advanced Science, EarlyView.A non‐invasive periodontitis diagnosis platform was developed using Au nanoparticles‐decorated mesoporous Cr2O3 (Au@mCr2O3) particles with Schwarz P surface as matrix for saliva metabolic fingerprinting (SMFs) analysis via MALDI‐MS. With the assistance of machine learning of SMFs, this platform enables efficient diagnosis and the screening of potential
Yue Sun +9 more
wiley +1 more source
Accuracy of logistic models and receiver operating characteristic curves [PDF]
The accuracy of prediction is a commonly studied topic in modern statistics. The performance of a predictor is becoming increasingly more important as real-life decisions axe made on the basis of prediction.
Corbett, Philip
core
Advanced Science, EarlyView.Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Application of receiver operating characteristic analysis to a remote monitoring model for chronic obstructive pulmonary disease to determine utility and predictive value [PDF]
, 2013 This thesis was submitted for the degree of doctor of Philosophy and awarded by Brunel UniversityThis is a foundational study that applies Receiver Operating Characteristic (ROC) analysis to the evaluation of a chronic disease model that utilizes Remote ...
Brown Connolly, Nancy
core +1 more source
Advanced Science, EarlyView.This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng +20 more
wiley +1 more source
Advanced Science, EarlyView.ABSTRACT Gastric cancer (GC) is a major global health concern, as its prevention and treatment remain significant challenges. The 8‐oxoguanine (o8G) modification of circRNAs, alongside their capacity to orchestrate liquid‐liquid phase separation (LLPS) and autophagy, plays a pivotal role in driving tumor progression and determining therapeutic outcomes.
Lei Peng +8 more
wiley +1 more source
, 2022 La curva ROC es una herramienta estadística empleada ampliamente en el ámbito sanitario para evaluar la capacidad diagnóstica de una prueba médica, a la hora de clasificar a una población en dos grupos: pacientes enfermos y pacientes sanos. Es decir, se analizará la capacidad de que una cierta variable, que se denotará variable diagnóstico, sea capaz ...
openaire +1 more source
Advanced Science, EarlyView.A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo +18 more
wiley +1 more source
Advanced Science, EarlyView.Through integrated proteomic and metabolomic profiling, Zhao et al. identified three molecular subtypes of high‐grade serous ovarian cancer. The high‐risk subtype exhibits activated arachidonic acid metabolism and cyclooxygenase‐2 overexpression. This metabolic axis promotes M2‐like macrophage infiltration, which contributes to platinum resistance ...
Yuxi Zhao +11 more
wiley +1 more source