Materials

Deliverables

This section contains all the public deliverables of the ALAMEDA project

Deliverable D8.1

Title: Project Website and Social Media

The present deliverable illustrates the word done to set the basic visual identity of the ALAMEDA project, the project website and the social media handles that will support the dissemination and communication strategy.

Downloadable pdf: full document

Publications

Below you will find a list of scientific and other publications that are direct results of the research done in the ALAMEDA project.

All publications are freely downloadable and disseminated in open access modalities

A Semantic Technologies Toolkit for Bridging Early Diagnosis and Treatment in Brain Diseases: Report from the Ongoing EU-Funded Research Project ALAMEDA

Published: 1 April 2022

Authors: C. Maga-Nteve, E. Kontopoulos, N.TsolakisI. KatakisE. MathioudisP. MitziasK. AvgerinakisG. MeditskosA. KarakostasS. Vrochidis, I. Kompatsiaris 

This Paper has been selected and presented at the 15th International Conference, MTSR 2021, Virtual Event, November 29 – December 3, 2021.

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Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review

Published: 24 February 2022

Authors: Konstantina-Maria Giannakopoulou, Ioanna Roussaki and Konstantinos Demestichas

This paper presents a state-of-the-art systematic review of the recent advances in the Internet of Things and Artificial Intelligence applications on Parkinson’s Disease, including the subdomains of machine learning and deep learning.

(This article belongs to the Special Issue AI and IoT Enabled Solutions for Healthcare)

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Ontology based semantic model for health data interpretation

Published: 22 December 2021

Authors: Christoniki Maga-Nteve, Nikos Tsolakis, Georgios Meditskos, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris

In this paper we propose a new semantic data model in which health information derived from Parkinson’s, Multiple Sclerosis, and Stroke (PMSS) patients is systematically analyzed to generate and improve knowledge that will be transferred to patient care in order to design and develop innovative health risk prediction and intervention tools

Download pdf: full article

Resources

Below you will find a list of useful resources and reading suggestions relevant to the ALAMEDA project

Download pdf: ALAMEDA brochure

Local Community Groups

Download pdf:  ALAMEDA Brochure Italian

Local Community Groups