Predictive Analysis in Healthcare Using Expert System

Abstract

Expert Systems (ES) are a specialized category of clinical decision support tools designed to replicate the reasoning and judgment of human experts. These systems play a pivotal role in healthcare by facilitating disease prediction, diagnostic support, and personalized treatment planning through the analysis of extensive medical datasets. In this education, we employ a skilled scheme to improve both the precision and efficiency of disease identification. The capabilities of expert systems have been significantly enhanced through the integration of machine learning (ML) methods such as neural nets, decision trees, and SVM. These AI-powered models are adept at uncovering complex patterns within patient records, thereby enabling more accurate and timely predictions. Their application is particularly impactful in domains like chronic disease management, cancer screening, and cardiovascular risk evaluation.

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