Research in computer analysis of medical images bears many promises to improve patients'
health. However, a number of systematic challenges are slowing down the progress of the …

Importance Great interest exists in identifying methods to predict neuropsychiatric disease
states and treatment outcomes from high-dimensional data, including neuroimaging and …

Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated map** of abilities to specific structures (for example, lesion …

Individual differences in brain functional organization track a range of traits, symptoms and
behaviours,,,,,,,,,,–. So far, work modelling linear brain–phenotype relationships has …

Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other
technology-based data collection methods have led to a torrent of high dimensional …

Pain medication plays an important role in the treatment of acute and chronic pain
conditions, but some drugs, opioids in particular, have been overprescribed or prescribed …

By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …

This chapter describes model validation, a crucial part of machine learning whether it is to
select the best model or to assess performance of a given model. We start by detailing the …

Management researchers often develop theories and policies that are forward‐looking. The
prospective outlook of predictive modeling, where a model predicts unseen or new data, can …

The nature of mental illness remains a conundrum. Traditional disease categories are
increasingly suspected to misrepresent the causes underlying mental disturbance. Yet …