The prevalence of childhood and adolescence overweight an obesity is raising at an
alarming rate in many countries. This poses a serious threat to the current and near-future …

Abstract Background Of the Sustainable Development Goals (SDGs), the third presents the
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …

We applied machine learning to diagnose epilepsy based on the fine-graded spectral
analysis of seizure-free (resting state) EEG recordings. Despite using unspecific …

In the last decade, applying supervised machine learning (SML) has become increasingly
popular in the information systems (IS) field. However, SML results rely on many different …

Objective In order to comprehensively understand the characteristics of Adaptive Business
Intelligence (ABI) in Healthcare, this study is structured to provide insights into the common …

Artificial Intelligence (AI) is integrating itself throughout the medical community. AI's ability to
analyze complex patterns and interpret large amounts of data will have considerable impact …

Medication errors are the third-leading cause of death in the US; however, a large number of
these cases could be prevented through better medication management. The aging …

The United Nation's Sustainable Development Goals call for the establishment of Good
Health and Well-being and target a universal digital healthcare ecosystem by 2030 …

Approximately about two billion peoples are affected by obesity that has drawn significant
attention on social media. As the sedentary lifestyle which includes consumption of junk …

Περίληψη Η παιδική παχυσαρκία αποτελεί προδιαθεσικό παράγοντα για την εμφάνιση
χρόνιων νοσημάτων (π. χ. σακχαρώδης διαβήτης, καρδιαγγειοπάθεια κ. ά.) μετά την …