MODELHealth: Facilitating Machine Learning on Big Health Data Networks

Stavros Pitoglou; Athanasios Anastasiou; Thelma Androutsou; Dimitra Giannouli; Evaggelos Kostalas; Georgios Matsopoulos; Dimitrios Koutsouris

doi:10.1109/EMBC.2019.8857394

MODELHealth: Facilitating Machine Learning on Big Health Data Networks

Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul:2019:2174-2177. doi: 10.1109/EMBC.2019.8857394.

Authors

Stavros Pitoglou, Athanasios Anastasiou, Thelma Androutsou, Dimitra Giannouli, Evaggelos Kostalas, Georgios Matsopoulos, Dimitrios Koutsouris

PMID: 31946332
DOI: 10.1109/EMBC.2019.8857394

Abstract

MODELHealth is a platform that aims to facilitate the implementation of Machine Learning (ML) techniques on medical data in order to upgrade the delivery of healthcare services. MODELHealth platform is a "holistic" approach to the implementation of processes for the development and utilization of ML algorithms in many forms, including Neural Networks, and can be used to assist clinical work and administrative decision-making. It covers the entire lifecycle of these processes, from pumping, homogenization, anonymization, and enrichment of the initial data, to the final disposal of efficient algorithms through Application Program Interfaces for consumption by any authorized Information System.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Big Data*
Delivery of Health Care
Machine Learning*
Neural Networks, Computer*