A Comparative Analysis of the Performance of Multiple Data Mining Classification Approaches Using the Kn Fold Validation
Journal of Pharmaceutical Research International · pp. 25–32 · Published 17 Feb 2022
10.9734/jpri/2022/v34i11B35542Abstract
In Healthcare the data is very large and sensitive. The data is mandatory to be handled very carefully without any negligence. A variety of data mining categorization approaches have been employed in the healthcare industry to assess the quality of services. On the basis of 150 patients' records, this study provides and evaluates the experience of implementing various data mining methodologies and procedures. Using data mining techniques, a new method for determining a product's correctness has emerged. The evaluation of performance on data mining classification by using a different algorithms like Decision Tree, Naïve Bayes, KNN, Radom Tree Set and Rule Model. Finally we tend to aim to contemplate the performance analysis of accuracy, sensitivity and specificity proportion to produce a result.
References (7)
- 1 From Data Mining to Knowledge Discovery in Databases
- 2 The KDD process for extracting useful knowledge from volumes of data [DOI]
- 3 Fibroids and infertility: an updated systematic review of the evidence [DOI]
- 4 Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions
- 5 Data mining: machine learning, statistics, and databases [DOI]
- 6 The Survey of Data Mining Applications and Feature Scope [DOI]
- 7 The data-mining industry coming of age [DOI]
Cited by 0
No indexed citations yet.
Related research
- Expectations and Realities: The Views and Experiences of HIV/AIDS Patients on Ghana’s National Health Insurance Scheme — shares topic coverage
- Availability and Readiness of Antenatal Care in the Primary Healthcare Setting in Ogoniland — shares topic coverage
- Satisfaction with Quality of Health Care among Teaching Hospitals in Kathmandu, Nepal — shares topic coverage
- Medical Tourism, Public Health and Economic Development in Nigeria: Issues and Prospects — shares topic coverage
- A Preliminary Review of Diversity in the Healthcare Workplace — shares topic coverage
Article metrics
Real usage data collected on this platform.
1
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.