Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2014

Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop

Résumé

Evolution in the field of IT, electronics and networking resulted in enhancements in connectivity and in computation capabilities. Proliferation of miniaturized devices paved way for Body Area Network. Healthcare systems have been going through cycles of modernization as the advent of IT system in the field of medical sciences. Body Area Network is a network of lightweight wearable sensor nodes that sense human body functions. Modern healthcare informatics systems produce lots of data that emerge from sensors. Even though many healthcare informatics systems exist and produce volume of data, such solutions exist in silos. Existing Healthcare IT systems intend to gather multivariate medical data about the patients by the means of electronic format. They capture multi variant types of data, process and store them in a RDBMS. Inferring knowledge from such systems is tedious. This paper aims at proposing a framework for modernizing the healthcare informatics systems. Proposed framework is based on Apache Hadoop platform which is open source and its implementation is distributed in nature as it is deployable at various healthcare centers in different geographic locations.
Fichier principal
Vignette du fichier
978-3-642-55032-4_34_Chapter.pdf (253.54 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01397231 , version 1 (15-11-2016)

Licence

Identifiants

Citer

P. Vignesh Raja, E. Sivasankar. Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop. 2nd Information and Communication Technology - EurAsia Conference (ICT-EurAsia), Apr 2014, Bali, Indonesia. pp.348-355, ⟨10.1007/978-3-642-55032-4_34⟩. ⟨hal-01397231⟩
128 Consultations
328 Téléchargements

Altmetric

Partager

More