Clinicians, healthcare providers-suppliers, policy makers and patients are experiencing
exciting opportunities in light of new information deriving from the analysis of big data sets, a …

The emergence of powerful software has created conditions and approaches for large
datasets to be collected and analyzed which has led to informed decision-making towards …

METHODS: From 2012 to 2014, a total of 494 (69%) of the 716 participants of the original
RCT known to be alive were identified; 441 (62% of the participants in the original RCT) …

Aim The protective effects of Kangaroo mother care (KMC) on the neurodevelopment of
preterm infants are well established, but we do not know whether the benefits persist beyond …

Objective The study presents an overview of the research activity in Big Data Analytics
(BDA) in the field of health and demonstrates the existing knowledge through related …

The quality and acceptance of machine learning (ML) approaches in cardiovascular data
interpretation depends strongly on model design and training and the interaction with the …

In translational research, efficient knowledge exchange between the different fields of
expertise is crucial. An open platform that is capable of storing a multitude of data types such …

Visual data analysis helps to understand different types of phenomena by allowing experts
to explore for relationships, patterns, outliers, unexpected changes, and more. Experts need …

Developing applicable clinical machine learning models is a difficult task when the data
includes spatial information, for example, radiation dose distributions across adjacent …

Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative
diseases on neural pathways, which may lead to more reliable and early diagnosis of these …