Dr.Naila Rozi
Associate Professor Computer science Department at Sindh Madrassatul Islam University
Title: Analysis of Risk in CVD VIA Human Genetics & biomedical equipment
Biography
Biography: Dr.Naila Rozi
Abstract
Statement of the Problem: In applied Biomedical Engineering discipline of human factors analysis is a complex and evolving study in cardiac surgery. Some realistic effort to reduce human error arose with the observational nature of human factors engineering we can take to analyze Risk Theory in cardiac surgery .According report from ECRI, here are the 10 riskiest areas which we have to analyze .Infusion errors which may be deadly to Patient. One big issue that can slip through the cracks is “IV free flow”. Secondly inadequate cleaning of complex reusable instruments which recent rash infections attributed to the reuse instruments after sanitizing and staff should be regularly reminded of the correct cleaning protocol. Third missed ventilator alarming Robotic Surgery may also be associated with higher costs and additional risks.
Risk Analysis in CVD can be monitor through Bayesian Analysis to integrate independent dataset, Bayes factor as a function of SNP in the CHD population. To test robustness of Bayesian analysis, we examine two tests of the sensitivity ,namely to low significance data sets. we exclude the data sets with comparatively small sample sizes, we also exclude large Bayes Factor
Methodology:
We use a Bayesian spatial model to estimate CVD mortality by ward ,sex and age group for period of 2012-2018 in Pakistan.The number of deaths in each ward –period-sex-age group was specified using a Poisson model. The Poisson model estimates mortality in each ward.