This review provides the basic principle and rational for ROC analysis of rating and
continuous diagnostic test results versus a gold standard. Derived indexes of accuracy, in …

Purpose Artificial intelligence (AI) is playing an ever-increasing role in Neuroradiology.
Methods When designing AI-based research in neuroradiology and appreciating the …

Here, we present an improved water quality index (WQI) model for assessment of coastal
water quality using Cork Harbour, Ireland, as the case study. The model involves the usual …

Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …

The main objective of the present study was to provide a novel methodological approach for
flash flood susceptibility modeling based on a feature selection method (FSM) and tree …

Metabolomics is increasingly being applied towards the identification of biomarkers for
disease diagnosis, prognosis and risk prediction. Unfortunately among the many published …

Interest for deep learning in radiology has increased tremendously in the past decade due to
the high achievable performance for various computer vision tasks such as detection …

This study aimed to develop a machine learning‐based algorithm for glaucoma diagnosis in
patients with open‐angle glaucoma, based on three‐dimensional optical coherence …

This paper proposes a novel optimization principle and its implementation for unsupervised
anomaly detection in sound (ADS) using an autoencoder (AE). The goal of the unsupervised …

Being able to enumerate potentially vulnerable IoT devices across the Internet is important,
because it allows for assessing global Internet risks and enables network operators to check …