Research Paper | Statistics | Pakistan | Volume 4 Issue 6, June 2015
Bayesian Analysis Approach to Diagnose Diabetes Type-2
Tahseen Jilani | Shaista Rais | Ubaida Fatima | Dr. Shabnam Rais
Abstract: Diabetes is powerlessness of body to deal with the levels of sugar in the blood. It is being a standout amongst the most persistent infections around the world causes around 3.8 million deaths each year. The primary point of this paper will be to create a methodology (Bayesian Analysis Approach) that after investigation of certain parameters can foresee that whether an individual will be Type-2 diabetic or not. Bayesian Analysis has significant impact in decision making in numerous fields extending from keeping money industry, to travel industry, to correspondence industry, what's more, to automated industry. Bayesian analysis approach has been becoming normal and is being utilized in determining diseases like tumors, hepatitis, lung ailments and many other dreadful diseases. Authors have distinguished 8 parameters that assume a critical part in diabetes and arranged a rich database of preparing information which served as the spine of the forecast calculation. At the point when the parameters of the test information will be sustained to the framework, it envisions & characterizes the test information into one of the two classifications viz diabetic & not diabetic. The execution of Bayesian Analysis in the medicinal judgment framework was discovered to be 95% accurate.
Keywords: Bayesian Analysis, Diabetes, Contingent Probability
Edition: Volume 4 Issue 6, June 2015,
Pages: 1779 - 1782
How to Cite this Article?
Tahseen Jilani, Shaista Rais, Ubaida Fatima, Dr. Shabnam Rais, "Bayesian Analysis Approach to Diagnose Diabetes Type-2", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB155215, Volume 4 Issue 6, June 2015, 1779 - 1782, #ijsrnet
How to Share this Article?
Similar Articles with Keyword 'Bayesian Analysis'
Spatial Modeling of Diabetes Cases in Ghana
Oti-Boateng Emmanuel | Ngesa Oscar | Osei Frank Badu
Bayesian Analysis of Exponential Distribution Using Informative Prior