A STUDY OF TB PATIENTS THROUGH STOCHASTIC MODEL

An attempt is made here to compute the verge point of a Tuberculosis patient who has been infected with Mycobacterium Tuberculosis using a statistical model. Many studies with various families of distribution had already been investigated. When a patient becomes sick, the threshold level drops, which can be shown in the model to indicate the model's goodness of fit. Even if subsequent interactions are separate, it is possible that they become increasingly effective in inflicting damage. When the total cumulative damage exceeds a certain threshold, a component exposed to shocks that hurt the element is likely to fail.The projected survival of the human system will approach the threshold if the survival does not accrue the increase in shock, which is the inter-arrival time. The conversation was read as follows: when the infection period lengthens, the patient's survival time diminishes. Finally, we use a real-world dataset to demonstrate the analytical findings and the model's utility.