A Longitudinal Patient Preference-Aware Treatment Recommendation System Using Multi-Source Sentiment Fusion and Adaptive Utility Modelling
Treatment recommendation systems using artificial intelligence have shown significant gains in predictive accuracy and clinical decision support, but an inherent design challenge exists in virtually all existing frameworks, namely that patient preferences are either considered as fixed binary inputs, they are viewed as...