Association rule mining to detect factors which contribute to heart disease in males and females
Published Mar 1, 2013 · J. Nahar, Tasadduq Imam, K. Tickle
Expert Syst. Appl.
380
Citations
11
Influential Citations
Abstract
Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.
Study Snapshot
Key takeawayFemales have a lower risk of coronary heart disease, while resting ECG status is a key factor for heart disease prediction, while healthy attributes indicate both genders' health status.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.