Area under ROC (AUC) is a metric which is widely used for measuring the classification performance for imbalanced data. It is of theoretical and practical interest to develop online learning algorithms that maximizes AUC for large-scale data. A specific challenge in developing online AUC maximization algorithm is that the learning objective function is usually defined over a pair of training ex...

AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample pairs playing the same roles as the support vector samples in SVM. Such a learning paradigm generally emphasizes more on the local discriminative information just associated with these support vectors whereas hardly ta...

The incident/dynamic time-dependent AUC (Area Under the ROC Curve) is an appealing measure to express discriminative value of a dynamic survival model over time. However, estimation this not straightforward. Four recently proposed approaches are studied. In extensive simulation study, head-to-head comparison between these four methods made. algorithms some extended. Results illustrated with mot...

BACKGROUND An overview of the validity of transesophageal echocardiography (TEE) in patients suspected to have traumatic aortic injury (TAI). METHODS Computerized bibliographic search of trials from 1994 to 2002 evaluating the use of TEE to confirm the diagnosis of TAI. Seven relevant studies out of 204 were identified, involving 758 patients. The accuracy of TEE was analyzed by constructing ...

Objectives: This study was designed to test and validate the new LPD scale in a home care setting. The specific objectives are for subjects cared at home; compare Braden internal validity. Method: multicenter, cross-sectional conducted domestic environment of Home Care services from North South Italy. Data collection lasted 8 months, between June 2018 September 2020, consisted simultaneous comp...

PURPOSE This meta-analysis aimed to evaluate the performance of diffusion-weighted magnetic resonance imaging (DWI) in identification of colorectal cancer. METHODS A systematic literature search was performed for studies that evaluated the diagnostic accuracy of DWI in identification of colorectal cancer. Methodological quality was assessed by Quality Assessment for Studies of Diagnostic Accu...

BACKGROUND We performed a systematic review and meta-analysis to address the (added) value of intraoperative 5-aminolevulinic acid (5-ALA)-guided resection of high-grade malignant gliomas compared with conventional neuronavigation-guided resection, with respect to diagnostic accuracy, extent of tumor resection, safety, and survival. METHODS AND FINDINGS An electronic database search of Medlin...

BACKGROUND Real-time elastography (RTE) and shear wave elastography (SWE) are noninvasive and easily available imaging techniques that measure the tissue strain, and it has been reported that the sensitivity and the specificity of elastography were better in differentiating between benign and malignant thyroid nodules than conventional technologies. METHODS Relevant articles were searched in ...

AIMS Osteopontin (OPN) plays an important role in many physiological and pathological processes (wound healing, inflammation, immune response, and tumorigenesis). This meta-analysis assessed the diagnostic value of osteopontin in ovarian cancer. METHODS AND RESULTS Searches in Embase and PubMed were conducted, in order to identify eligible studies on osteopontin expression and its diagnostic ...

Objective The analysis was aimed to evaluate the diagnostic accuracy of shear wave elastography (SWE) for malignant breast lesions through a meta-analysis. Materials and Methods Related articles were searched in databases of Pubmed, Embase and Cochrane library. Overall sensitivity and specificity were analyzed with DerSimonian and Laird random effects model. Area under curve (AUC) with corres...