%0 Journal Article
%T Development of a Data Mining Model to Detect Cardiovascular Disease
%A Emmanuel Nwabueze Ekwonwune
%A Chinyere Ihekachi Ubochi
%A Augustine Ekekwe Duruoha
%A Ngozi Amarachi Duru
%J Int'l J. of Communications, Network and System Sciences
%P 77-96
%@ 1913-3723
%D 2023
%I Scientific Research Publishing
%R 10.4236/ijcns.2023.165006
%X 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.
%K Data Mining
%K Algorithm
%K System Design
%K Healthcare
%K CVD
%K Methodology
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=124967