MUTE-Reco: MUTual Information Assisted Ensemble Feature RECOmmender System for Healthcare Prognosis

arXiv:2209.13836v2 Announce Type: replace
Abstract: Purpose: Health recommenders act as important decision support systems, aiding patients and medical professionals in taking actions that lead to patients' well-being. These systems extract the information which may be of particular relevance to the end-user, helping them in making appropriate decisions. The present study proposes a feature recommender that identifies and recommends the most important risk factors for healthcare prognosis.
Methods: A novel mutual information and ensemble-based feature ranking approach (termed as, MUTE-Reco) considering …

abstract act arxiv cs.lg decision decisions decision support ensemble extract feature health healthcare information making medical patients professionals recommenders support systems the end the information them type