Hybrid Workflow Policy Management for Heart Disease Identification

TL;DR

This paper presents a hybrid workflow management system tailored for heart disease identification, integrating user-specific requirements like performance and reliability within a Grid computing environment to enhance ECG analysis and virtual heart simulation tasks.

Contribution

It introduces a novel hybrid workflow management system that addresses user SLA requirements in medical applications on Grid platforms, specifically for heart disease diagnosis.

Findings

Successfully applied to Physio-Grid platform for ECG analysis

Enhanced management of user requirements such as performance and reliability

Improved accuracy and efficiency in heart disease identification

Abstract

As science technology grows, medical application is becoming more complex to solve the physiological problems within expected time. Workflow management systems (WMS) in Grid computing are promising solution to solve the sophisticated problem such as genomic analysis, drug discovery, disease identification, etc. Although existing WMS can provide basic management functionality in Grid environment, consideration of user requirements such as performance, reliability and interaction with user is missing. In this paper, we propose hybrid workflow management system for heart disease identification and discuss how to guarantee different user requirements according to user SLA. The proposed system is applied to Physio-Grid e-health platform to identify human heart disease with ECG analysis and Virtual Heart Simulation (VHS) workflow applications.