Research Analysis for Patient Heart Rate Performance using Algorithm Design Techniques
  • Author(s): William Anazodo
  • Paper ID: 1704973
  • Page: 517-520
  • Published Date: 31-08-2023
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 7 Issue 2 August-2023
Abstract

The provision of high-quality healthcare to patients is the primary goal of higher education institutions in medicine. The identification of factors influencing academic performance and subsequent attempts to address these factors' weaknesses are two ways to achieve the highest level of quality. Finding patterns in the data (student and course records) that could be used to predict students' performance is the specific goal of the proposed research project. A sample of 150 students from the University of Port Harcourt Teaching Hospital participated in the study. The statistical package for social sciences (SPSS) and the data mining tool Clementine were used to collect and organize the data. The task of creating a reliable student performance prediction model is difficult. To determine which of the known factors can provide an early indicator of expected performance, data mining-based models were used. In order to lower error rates, this paper uses both feature reduction and classification techniques. The findings of the experiment show a strong correlation between the success rate of hospitals and the inclusion of both practical work and medications. On the other hand, the quantity of assignments given has a detrimental effect on course academic performance. The majority of the factors that affect a student's academic performance, aside from grades on the final and midterm exams, are the students' attendance in class.

Keywords

Decision tree, prediction, heart rate performance, and healthcare data mining

Citations

IRE Journals:
William Anazodo "Research Analysis for Patient Heart Rate Performance using Algorithm Design Techniques" Iconic Research And Engineering Journals Volume 7 Issue 2 2023 Page 517-520

IEEE:
William Anazodo "Research Analysis for Patient Heart Rate Performance using Algorithm Design Techniques" Iconic Research And Engineering Journals, 7(2)