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Future Internet 2016, 8(3), 32; doi:10.3390/fi8030032

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

Department of Information Engineering Unversità degli Studi di Firenze, v. S. Marta, 3-50139 Firenze, Italy
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Academic Editor: Dino Giuli
Received: 14 February 2016 / Revised: 18 June 2016 / Accepted: 24 June 2016 / Published: 13 July 2016
(This article belongs to the Special Issue Ecosystemic Evolution Feeded by Smart Systems)
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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. View Full-Text
Keywords: cloud; decision support systems; data mining; Heart Failure cloud; decision support systems; data mining; Heart Failure
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Guidi, G.; Miniati, R.; Mazzola, M.; Iadanza, E. Case Study: IBM Watson Analytics Cloud Platform as Analytics-as-a-Service System for Heart Failure Early Detection. Future Internet 2016, 8, 32.

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