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Annu Int Conf IEEE Eng Med Biol Soc · Jul 2019
MODELHealth: Facilitating Machine Learning on Big Health Data Networks.
- Stavros Pitoglou, Athanasios Anastasiou, Thelma Androutsou, Dimitra Giannouli, Evaggelos Kostalas, Georgios Matsopoulos, and Dimitrios Koutsouris.
- Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul 1; 2019: 2174-2177.
AbstractMODELHealth 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.
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