Max-margin weight learning for medical knowledge network

Our experimental results show that the proposed method performs reliably for learning the weights of medical knowledge. M3KN outperforms other existing methods by achieving an F-measure of 0.731 for CEMRs and 0.4538 for BERs. This further illustrates that M3KN can facilitate the investigations of intelligent healthcare.