Case Study: IBM Watson Analytics Cloud Platform as Analytics-as-a-Service System for Heart Failure Early Detection

Gabriele Guidi, Roberto Miniati, Matteo Mazzola and Ernesto Iadanza
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Gabriele Guidi: Department of Information Engineering Unversità degli Studi di Firenze, v. S. Marta, 3-50139 Firenze, Italy
Roberto Miniati: Department of Information Engineering Unversità degli Studi di Firenze, v. S. Marta, 3-50139 Firenze, Italy
Matteo Mazzola: Department of Information Engineering Unversità degli Studi di Firenze, v. S. Marta, 3-50139 Firenze, Italy
Ernesto Iadanza: Department of Information Engineering Unversità degli Studi di Firenze, v. S. Marta, 3-50139 Firenze, Italy

Future Internet, 2016, vol. 8, issue 3, 1-16

Abstract: In the recent years the progress in technology and the increasing availability of fast connections have produced a migration of functionalities in Information Technologies services, from static servers to distributed technologies. This article describes the main tools available on the market to perform Analytics as a Service (AaaS) using a cloud platform. It is also described a use case of IBM Watson Analytics, a cloud system for data analytics, applied to the following research scope: detecting the presence or absence of Heart Failure disease using nothing more than the electrocardiographic signal, in particular through the analysis of Heart Rate Variability. The obtained results are comparable with those coming from the literature, in terms of accuracy and predictive power. Advantages and drawbacks of cloud versus static approaches are discussed in the last sections.

Keywords: cloud; decision support systems; data mining; Heart Failure (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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