Biomarker discovery and development for clinical research, diagnostics and therapy
monitoring in clinical trials have advanced rapidly in key areas of medicine—most notably …

This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Simple Summary Large-scale medical data carries significant areas of underrepresentation
and bias at all levels: clinical, biological, and management. Resulting data sets and outcome …

Recognising the various sources of nitrate pollution and understanding system dynamics
are fundamental to tackle groundwater quality problems. A comprehensive GIS database of …

Ensemble learning is an intensively studied technique in machine learning and pattern
recognition. Recent work in computational biology has seen an increasing use of ensemble …

Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning
and neural networks to improve existing technology or create new ones. Potential …

Many studies have been carried out for early diagnosis of complex diseases by finding
accurate and robust biomarkers specific to respective diseases. In particular, recent rapid …

High-throughput technologies for DNA sequencing and for analyses of transcriptomes,
proteomes and metabolomes have provided the foundations for deciphering the structure …

This paper considers feature selection for data classification in the presence of a huge
number of irrelevant features. We propose a new feature-selection algorithm that addresses …

Feature selection techniques have been used as the workhorse in biomarker discovery
applications for a long time. Surprisingly, the stability of feature selection with respect to …