| REVIEWS |
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| Year : 2019 | Volume
: 5
| Issue : 3 | Page : 136-141 |
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Application of Bayesian Analysis in Medical Diagnosis
Vivek Verma1, Ashwani Kumar Mishra2, Rajiv Narang3
1 Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
2 National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, New Delhi, India
3 Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
Correspondence Address:
Dr. Rajiv Narang
Department of Cardiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi - 110 029
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jpcs.jpcs_51_19
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In this work, we outlined the application of the Bayesian technique for integrating the results of multiple tests while treating any disease. We provided an overview of the fundamental concept of Bayesian analysis in making an inference about a phenomenon using a concordance between available information and prior knowledge. An attempt is being made to demonstrate the applicability using core aspects, viz., nature of probability, parameters, and inferential procedure used to draw inference about the population characteristic under both paradigms. Here, we tried to sketch the underlying steps and assumptions regarding use of the Bayes theorem and the analytical techniques that can be used to analyze and interpret medical data while treating any disease.
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