Predictive Patient-Centric Healthcare

Abstract

In this chapter, the authors propose a novel recommendation algorithm for patient-centric healthcare that utilizes learning applications. The algorithm aims to predict and recommend suitable learning applications to patients based on their individual needs and preferences. By leveraging machine learning techniques and patient data, the algorithm analyzes various factors such as medical history, demographics, and personal interests to generate personalized recommendations. This patient-centric approach enhances the healthcare experience by empowering patients to actively engage in their own health management and education. The algorithm's effectiveness is evaluated through experiments and comparisons with existing recommendation methods, demonstrating its potential to improve patient outcomes and overall healthcare quality.