Personalised Support System for Hypertensive Patients Based on Genetic Algorithms

摘要

Hypertension is a common and dangerous condition, which is the most important preventable cause of stroke and heart disease. Long-term conditions result in a reduced quality of life that can be improved through self-management and empowerment of patients using information technologies. Current support systems include self-management and empowerment in patients, but both features are not personalised in terms of patient preferences and decision-making. In this work an adaptive genetic algorithm is proposed for personalised support systems in hypertensive patients by including patient blood pressure data in the generar tional replacement step of evolutionary computing.