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Workshops

The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.

WORKSHOPS LIST

DMDH 2025, Workshop on Data-Driven Models for Digital Health Transformation
Chair(s): Lerina Aversano, Martina Iammarino and Antonella Madau

Workshop on
Data-Driven Models for Digital Health Transformation - DMDH 2025

Paper Submission: April 7, 2025
Authors Notification: April 22, 2025
Camera Ready and Registration: May 2, 2025

Co-chairs

	Lerina Aversano Department of Agricultural Science, Universita di Foggia Italy

	Martina Iammarino Department of Computer Science and Technologies, Pegaso University Italy

	Antonella Madau Department of Engineering, University of Sannio Italy

Scope

The workshop explores how data can enable the development of explainable models in digital health, addressing the need for transparency and trust in AI-driven solutions. It focuses on integrating advanced data science techniques into healthcare applications, including clinical decision support, medical imaging, and diagnostics. Key themes include frameworks for explainability, ethical and privacy considerations, and the role of data engineering in creating robust digital health systems. Participants will discuss emerging trends, challenges, and best practices, fostering collaboration between academia, industry, and healthcare providers. The workshop aims to promote the adoption of explainable AI solutions that improve patient outcomes, optimize healthcare processes, and ensure compliance with ethical and regulatory standards in digital health.

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