Graph Artificial Intelligence in Medicine
In clinical artificial intelligence (AI), graph representation learning, mainly through graph
neural networks and graph transformer architectures, stands out for its capability to capture …
neural networks and graph transformer architectures, stands out for its capability to capture …
Graph ai in medicine
In clinical artificial intelligence (AI), graph representation learning, mainly through graph
neural networks (GNNs), stands out for its capability to capture intricate relationships within …
neural networks (GNNs), stands out for its capability to capture intricate relationships within …
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
Accurate healthcare prediction is essential for improving patient outcomes. Existing work
primarily leverages advanced frameworks like attention or graph networks to capture the …
primarily leverages advanced frameworks like attention or graph networks to capture the …
Artificial Intelligence aware Knowledge Graphs and Deep Learning-Based Diagnostic Prediction Model in Healthcare
Diagnostic prediction experts use a patient's medical history to anticipate their future
diagnosis. Attention mechanisms and recurrent neural networks are typically utilized for this …
diagnosis. Attention mechanisms and recurrent neural networks are typically utilized for this …