Test suites for software products vary in size from hundreds of test cases for small programs to millions for a large software product like Microsoft Windows. One problem in the product life cycle is ...

From new research on diet to medications that may prevent suicide, here’s what 5 new studies mean for your bipolar care. Your ...

Objective To assess the feasibility of conducting a cluster randomised controlled trial comparing the effects of Advanced ...

Objectives Bedaquiline (BDQ), delamanid (DLM) and pretomanid (Pa) were widely used in recent years. This study aimed to analyse adverse drug event (ADE) reports associated with them based on the Food ...

An R project exploring unsupervised learning, from data cleaning and outlier detection to a comparative analysis of centroid-based and density-based clustering.

Abstract: Clustering is widely used for data analysis that partitions a set of data into multiple clusters, where objects in the same cluster have similar properties. Data for clustering analysis ...

The number of published studies using the Delphi method has increased considerably in recent years. The Delphi method is now used extensively to develop guidelines, methodological standards, and ...

Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...

Introduction: Glioblastoma (GBM) is a highly aggressive brain tumor with a median survival of only 15 months. A major challenge in GBM management is the pronounced inter- and intratumoral ...