The discriminative ability of risk models for dichotomous outcomes is often evaluated with
the concordance index (c-index). However, many medical prediction problems are …

This paper proposes an ensemble algorithm named of BPSO-Adaboost-KNN to cope with
multi-class imbalanced data classification. The main idea of this algorithm is to integrate …

Background The 15-item geriatric depression scale (GDS-15) is a short form of GDS and is
used to screen, diagnose, and evaluate depression in elderly individuals. Most previous …

In this review, we present an overview of the main aspects related to the statistical
evaluation of medical tests for diagnosis and prognosis. Measures of diagnostic …

Statistical evaluation of diagnostic performance in general and Receiver Operating
Characteristic (ROC) analysis in particular are important for assessing the performance of …

The accuracy of a single diagnostic test for binary outcome can be summarized by the area
under the receiver operating characteristic (ROC) curve. Volume under the surface and …

Background After receiving a COVID-19 vaccine, most recipients want to know if they are
protected from infection and for how long. Since neutralizing antibodies are a correlate of …

We study properties of the index J3, defined as the accuracy, or the maximum correct
classification, for a given three‐class classification problem. Specifically, using J3 one can …

Nowadays the area under the receiver operating characteristics (ROC) curve, which
corresponds to the Wilcoxon–Mann–Whitney test statistic, is increasingly used as a …

Deep learning neural network models such as multilayer perceptron (MLP) and
convolutional neural network (CNN) are novel and attractive artificial intelligence computing …