iHELP Engaging Participation in the Upcoming Webinar on Health Sector Standardization
In an era defined by groundbreaking technological advancements, the pursuit of standardized practices within the healthcare sector is an imperative goal. Enter
ICAMCS 2023 iHelp Special Session
AIPER: AI and Big Data Applications towards Person-centered eHealth, Personalized Recommendations and Improved QoL Introduction The successful exploration and interpretation of all
Ethical and policy considerations in iHelp
The iHelp consortium is building an ambitious and far-reaching study using several inter-connected approaches to contribute to more effective risk detection and
Data Ingestion into the iHelp Big Data Platform (Part I)
One of the most important technological building blocks of the iHelp platform is the data pipeline that captures the various types of
Unsupervised Machine Learning
Have you met that know-it-all expert always rushing to spoil the AI party by pronouncing that they have seen it all before
Digital Twins
The concept of Digital Twins was designed in 2002 by Michael Grieves [1], initially, to serve as a tool in the Product
The Open-Source in eHealth – The iHelp Solution
Since the project has moved to its third and final year it is time to have a small recap of the project’s
The role of Social Media Analyser tool in Health Policy Making
It has been established that the importance of public opinion on social media platforms has become significant in recent years and especially
Impact Evaluator – A tool to visualise the effect of the sent contents
One of the goals of the iHelp project is to realize a platform that can provide final users with personalized prevention and