Rizzi, S., Bertino, E., Catania, B., Golfarelli, M., Halkidi, M., Terrovitis, M., Vassiliadis, P., Vazirigiannis, M. and Vrachnos, E. (2003) Towards a Logical Model for Patterns. In: Song, I.Y., Liddle, S.W., Ling, T.W. and Scheuermann, P., eds., Conceptual Modeling—ER 2003, Springer, Berlin, Heidelberg.
https://doi.org/10.1007/978-3-540-39648-2_9

has been cited by the following article:

• TITLE: Development of a Data Mining Model to Detect Cardiovascular Disease

  AUTHORS: Emmanuel Nwabueze Ekwonwune, Chinyere Ihekachi Ubochi, Augustine Ekekwe Duruoha, Ngozi Amarachi Duru

  KEYWORDS: Data Mining, Algorithm, System Design, Healthcare, CVD, Methodology

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.16 No.5, May 19, 2023

  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.