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Heart Disorder Detection with Menard Algorithm on Apache Spark

Abstract : Nowadays, healthcare is facing Big Data processing in order to support medical staff by means of decision making tools. In this context, a challenging topic is the storing and analysis of data in the cardiology field. Electrocardiogram produces signals about the heart health that need to be processed in order to detect a possible disorder. In this paper, we discuss an Apache Spark based tool and that uses the Menard algorithm. In order to validate our solution, we performed experiments on a use case in which the algorithm has been implemented in order to detect heart disorder. Experiments prove the goodness of our approach in terms of performance.
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Submitted on : Monday, January 8, 2018 - 3:00:21 PM
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Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Placido Bramanti, Massimo Villari. Heart Disorder Detection with Menard Algorithm on Apache Spark. 6th European Conference on Service-Oriented and Cloud Computing (ESOCC), Sep 2017, Oslo, Norway. pp.229-237, ⟨10.1007/978-3-319-67262-5_17⟩. ⟨hal-01677608⟩



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