Motivation Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of
immune checkpoint therapy in colorectal cancer (CRC). In general, patients with higher TMB …

Applying machine learning techniques to predict bankruptcy in the sample of French, Italian,
Russian and Spanish firms, the study demonstrates that the inclusion of economic policy …

Time-resolved multivariate pattern analysis (MVPA), a popular technique for analyzing
magneto-and electro-encephalography (M/EEG) neuroimaging data, quantifies the extent …

The prediction of favorable zone (FZ) is the most important step for conventional
hydrocarbon accumulations (CHAs) exploration. Recently, the method of coupling multiple …

Speech and language processing involve complex interactions between cortical areas
necessary for articulatory movements and auditory perception and a range of areas through …

Functional connectivity studies increasingly turn to machine learning methods, which
typically involve fitting a connectome-wide classifier, then conducting post hoc interpretation …

Background Mild cognitive impairment (MCI) is a clinical cognitive impairment state between
dementia and normal aging. Early identification of MCI is beneficial, and it can delay the …

Background: Recently, multi-omic machine learning architectures have been proposed for
the early detection of cancer. However, for rare cancers and their associated small datasets …

The reproducibility crisis in neuroimaging and in particular in the case of underpowered
studies has introduced doubts on our ability to reproduce, replicate and generalize findings …

This study aimed to develop and validate prediction models to estimate the risk of death and
intensive care unit admission in COVID-19 inpatients. All RT-PCR-confirmed adult COVID …