Abstract In 2011, the “ADHD-200 Global Competition” was held with the aim of identifying
biomarkers of attention-deficit/hyperactivity disorder from resting-state functional magnetic …

Rationale In adults, personalised asthma treatment targets patients with type 2 (T2)-high and
eosinophilic asthma phenotypes. It is unclear whether such classification is achievable in …

Attention deficit hyperactivity disorder (ADHD) is a neurobiological condition that appears
during an individual's childhood and may follow her/him for life. The research objective was …

Two-sample testing is a fundamental problem in statistics. Despite its long history, there has
been renewed interest in this problem with the advent of high-dimensional and complex …

The estimated accuracy of a classifier is a random quantity with variability. A common
practice in supervised machine learning, is thus to test if the estimated accuracy is …

Background Parkinson's disease (PD) is a prevalent neurodegenerative disorder that
significantly benefits from early diagnosis for effective disease management and …

Background/Objectives: The interest in processing human speech and other human-
generated audio signals as a diagnostic tool has increased due to the COVID-19 pandemic …

Background Voice features have been suggested as objective markers of bipolar disorder
(BD). Aims To investigate whether voice features from naturalistic phone calls could …

Computing and internet network technology always growing from time to time. One of the
impacts is the increased ease of sharing information through the Internet. By this condition …

In the era of Big Data, it is almost impossible to completely restrict access to primary non-
aggregated statistical data. However, risk of violating privacy of individual respondents and …