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Development of a Data Mining Model to Detect Cardiovascular Disease
Department of Computer Science, Imo State University, Owerri, Nigeria
Department of Computer Science, Imo State University, Owerri, Nigeria
Department of Computer Science, Gregory University, Abia, Nigeria
Department of Computer Science, Federal University of Technology, Owerri, Nigeria
- 1 Department of Computer Science, Imo State University, Owerri, Nigeria
- 2 Department of Computer Science, Imo State University, Owerri, Nigeria
- 3 Department of Computer Science, Gregory University, Abia, Nigeria
- 4 Department of Computer Science, Federal University of Technology, Owerri, Nigeria
International Journal of Communications, Network and System Sciences·Volume 16 (2023)·Pages 77–96·Published 11 May 2023·DOI10.4236/ijcns.2023.165006
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Abstract
In the previous publication on Volume 15 No 9, September 30, 2022 of IJCN, we analyzed “Data Mining as a Technique for Healthcare Approach”. In this edition, emphasis has been made on the “Development of Data Mining Model to Detect Cardiovascular Diseases (CVD)”. A Software was developed using the internationally accepted Software Engineering Methodology (SSADM), coding by OOP and packing by prototyping methodologies. Among others, this paper discusses; Cardiovascular diseases, Data Mining Algorithm, Analysis and Information flow of the Present System, Data flow and High level flow of the Proposed System, Modulating, System Design and Development, Hardware and Software Specifications, System Testing, Evaluation and Documentation.
KeywordsData MiningAlgorithmSystem DesignHealthcareCVDMethodology
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