[HTML][HTML] Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health data

R Hussein, I Balaur, A Burmann… - Open Research …, 2024 - pmc.ncbi.nlm.nih.gov
Objective The European Health Data Space (EHDS) shapes the digital transformation of
healthcare in Europe. The EHDS regulation will also accelerate the use of health data for …

Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records

G Manias, A Azqueta-Alzúaz, A Dalianis, J Griffiths… - Sensors, 2024 - mdpi.com
The modern healthcare landscape is overwhelmed by data derived from heterogeneous IoT
data sources and Electronic Health Record (EHR) systems. Based on the advancements in …

AI-Driven Drug Discovery: Unravelling the Potential of Generative Adversarial Networks (GANs) in Pharmaceutical Research

SR Burri, MY Diallo, L Sharma… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This paper examines how AI has revolutionised drug development and medical research
using the ChEMBL dataset. The primary study areas are AI-driven therapeutic target …

An Enhanced Standardization and Qualification Mechanism for Heterogeneous Healthcare Data

G Manias, A Azqueta-Alzúaz, A Damiani… - Caring is Sharing …, 2023 - ebooks.iospress.nl
Given the challenge that healthcare related data are being obtained from various sources
and in divergent formats there is an emerging need for providing improved and automated …

An Optimized Pipeline for the Processing of Healthcare Data towards the Creation of Holistic Health Records

G Manias, E Kouremenou, AA Alzúaz… - … & Computer Science …, 2023 - ieeexplore.ieee.org
The tremendous increase in the generation, distribution, and utilization of healthcare data
over the past decade highlights the imperative for all stakeholders in the modern healthcare …

An Evaluation of Machine Learning Models coupled with Powerful Big Data Techniques in the Case of Pancreatic Cancer

E Kouremenou, G Manias… - … & Computer Science …, 2023 - ieeexplore.ieee.org
This study proposes an optimized machine learning (ML) methodology and workflow to
examine pancreatic cancer factors, taking advantage of real-world data collected from three …

Beyond the Hype: The Realities of AI in Clinical Practice

A Khan, VO Omokhoa, SI Afzal - … Practice and Unmet Challenges in AI …, 2024 - igi-global.com
This chapter comprehensively explores the clinical perspectives on integrating artificial
intelligence (AI) into healthcare. It examines AI's significant opportunities for enhancing …

Advanced Notebook: A tool for enhanced Management of Machine Learning models and procedures in the Healthcare Domain

G Danciu, IE Nicolae, I Ilie… - … Conference on Applied …, 2023 - ieeexplore.ieee.org
The significant improvements in machine learning today necessitate procedures and
frameworks that are simple to configure by data scientists, ML researchers, and non-DevOps …

Implementation of the Artificial Intelligence for Risk Prediction and Personalized Preventive and Treatment Program–Hospital Medical Specialists Perspective

R Kostadinov, D Vicheva, L Paunov… - … & Computer Science …, 2023 - ieeexplore.ieee.org
During the last decade Information Communication Technologies (ICT), Machine Learning
(ML), and Deep Learning have expanded their implementation in the modern healthcare …

Artificial Intelligence Implementation for Development of Socially Significant Disease Prediction and Risk Mitigation Monitoring–Patients Perspective

R Kostadinov, D Vicheva, L Paunov… - … & Computer Science …, 2023 - ieeexplore.ieee.org
Several recent research works and articles detail the changes in lifestyle and behavioral
habits resulting from the widespread adoption of digital technologies. These technologies …