Hypergraph convolutional networks

Hypergraph convolutional networks improve disease risk prediction accuracy in silico (87.26% accuracy, 0.831 F1-score).

“Experimental evaluations demonstrated the platform's effectiveness, achieving an 87.26% accuracy and a 0.831 F1-score in disease risk prediction.”

In silico

A hypergraph convolution-based intelligent healthcare platform for aging population management

Frontiers in public health·8 Aug 2025