Generation of a risk prediction algorithm for a cardiac event

Bell, Tara (2014) Generation of a risk prediction algorithm for a cardiac event. Diploma thesis, Dublin, National College of Ireland.

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The objective of this study was to examine the methodology of the development of a cardiovascular risk prediction algorithm.

The work was designed as a prospective, single centered study in a setting of a community based cohort. The subjects were a total of 1813 men and 2377 women aged 30 to 70 years at the baseline with 12 years of follow up at 6 yearly intervals from 1956 to 1968. During the 12 years of follow up a total of 583 men and 451 women developed cardiovascular disease which was significantly associated with categories of blood pressure and total cholesterol. Sex specific prediction equations were formulated to predict cardiovascular disease risk according to age, diabetes, smoking, blood pressure and total cholesterol categories. The reproduction of the study was found to not correlate with the results of the original study.

Factors leading to the difference between the study results were deemed to be based on the

The algorithm developed was a replication of the score developed and tested by Wilson et al (1998), and the recommended guidelines at the time (1998), to predict cardiovascular disease based on blood pressure, total cholesterol, diabetes, smoking, age and sex.

Item Type: Thesis (Diploma)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Higher Diploma in Science in Data Analytics
Date Deposited: 16 Dec 2014 16:03
Last Modified: 16 Dec 2014 16:03

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