CrowdHEALTH: Big Data Analytics and Holistic Health Records

Autor: Parisis, Gallos, Santiago, Aso, Serge, Autexier, Arturo, Brotons, Antonio, De Nigro, Gregor, Jurak, Athanasios, Kiourtis, Pavlos, Kranas, Dimosthenis, Kyriazis, Mitja, Lustrek, Andrianna, Magdalinou, Ilias, Maglogiannis, John, Mantas, Antonio, Martinez, Andreas, Menychtas, Lydia, Montandon, Florin, Picioroaga, Manuel, Perez, Dalibor, Stanimirovic, Gregor, Starc, Tanja, Tomson, Ruth, Vilar-Mateo, Ana-Maria, Vizitiu

Publikováno v: Studies in health technology and informatics
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname

The aim of this paper is to present examples of big data techniques that can be applied on Holistic Health Records (HHR) in the context of the CrowdHEALTH project. Real-time big data analytics can be performed on the stored data (i.e. HHRs) enabling

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::23f23c45eecf2f60ce713a1c7738e97f
https://fundanet.iislafe.san.gva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=11151