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Optimizing referral screening in healthcare: an ensemble learning approach to improve classification accuracy at Hospital Garcia de Orta

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Summary:This research explores improving referral screening at Hospital Garcia de Orta (HGO) through ensemble learning. Initially, a single algorithmic model from Nova SBE's project-based learning initiative achieved a recall of 0.95 and a precision of 0.72. Enhancing this, the study applied ensemble learning techniques, significantly boosting performance. The resultant ensemble model reached a recall of 0.96 and precision of 0.87, demonstrating the effectiveness of ensemble learning in healthcare. This advancement emphasizes its importance in optimizing patient care and advancing healthcare information technology.
Main Authors:Haegh, Julie Dohlen
Subject:Business analytics Machine learning Decision-Making Healthcare Prediction Ensemble learning NIP Classification
Year:2024
Country:Portugal
Document type:master thesis
Access type:open access
Associated institution:Universidade Nova de Lisboa
Language:English
Origin:Repositório Institucional da UNL

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