Stochastic Approach Using Statistical Distribution to Expected Lifetime of Hypertension Patients

Hypertensive heart disease, marked by morphological and functional dysfunction, is mostly caused by persistent uncontrolled hypertension that affects the left ventricle, left atrium, and coronary arteries. Hypertensive heart disease is underreported, and its linkages and repercussions are not well understood. This work considers an afflicted individual with a single source Power Burr X Distribution with distinct thresholds. The shock model and cumulative damage process determine the estimated time to cross the threshold. Specific distributions are used in order to demonstrate the analytical results quantitatively.

Authors

Institutions

Publication Details

Published
2025-03-15
DOI
https://doi.org/10.56557/ajpam/2025/v7i1185
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stochastic Approach Using Statistical Distribution to Expected Lifetime of Hypertension Patients

Kannadasan Karuppaiah, Vinoth Raman
Healthcare Operations and Scheduling Optimization
article

Stochastic Approach Using Statistical Distribution to Expected Lifetime of Hypertension Patients

Kannadasan Karuppaiah, Vinoth Raman
article en

Abstract

Hypertensive heart disease, marked by morphological and functional dysfunction, is mostly caused by persistent uncontrolled hypertension that affects the left ventricle, left atrium, and coronary arteries. Hypertensive heart disease is underreported, and its linkages and repercussions are not well understood. This work considers an afflicted individual with a single source Power Burr X Distribution with distinct thresholds. The shock model and cumulative damage process determine the estimated time to cross the threshold. Specific distributions are used in order to demonstrate the analytical results quantitatively.

Vol. 7(1)
Community Medical Center (US), Imam Abdulrahman Bin Faisal University (SA)
Openalex Percentile: Top 92%
Healthcare Operations and Scheduling Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.