Stochastic Analysis of Vital Organs Failure and Treatment with AkashSanker Distribution

This paper assumes that a diabetic person has two defective vital organs kidney and heart. In this research paper we study 4 models in which the patient gets Kidney and Heart ailments. In these models, he is sent for hospital treatment at time T for a Kidney ailment or for a Heart ailment or for preventive purpose (Prophylactic treatment) whichever occurs first. His treatment time is denoted by R which may be either for Kidney or Heart or for preventive purpose as per the requirement. The joint probability distribution of T and R , its pdf and the Laplace transform of the pdf are derived. The expected time E(T) of T , the time to send for hospital treatment and the expected time E(R) of R , the duration of treatment time in the hospital are obtained. Variances of T and R are also derived.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-11
DOI
https://doi.org/10.52783/jisem.v10i35s.6039
Primary Topic
Probability and Risk Models
Type
article
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article

Stochastic Analysis of Vital Organs Failure and Treatment with AkashSanker Distribution

T. Mahalakshmi
Journal of Information Systems Engineering & Management
Probability and Risk Models
article

Stochastic Analysis of Vital Organs Failure and Treatment with AkashSanker Distribution

T. Mahalakshmi
article en

Abstract

This paper assumes that a diabetic person has two defective vital organs kidney and heart. In this research paper we study 4 models in which the patient gets Kidney and Heart ailments. In these models, he is sent for hospital treatment at time T for a Kidney ailment or for a Heart ailment or for preventive purpose (Prophylactic treatment) whichever occurs first. His treatment time is denoted by R which may be either for Kidney or Heart or for preventive purpose as per the requirement. The joint probability distribution of T and R , its pdf and the Laplace transform of the pdf are derived. The expected time E(T) of T , the time to send for hospital treatment and the expected time E(R) of R , the duration of treatment time in the hospital are obtained. Variances of T and R are also derived.

Journal of Information Systems Engineering & ManagementVol. 10(35s)
Openalex Percentile: Top 92%
Probability and Risk Models
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