ChemAIFlow: a scalable and interpretable applied-AI framework for high-dimensional data analytics in health informatics
Purpose The study addresses operational demands for scalable artificial intelligence frameworks in high-dimensional affinity prediction. Current computational solutions prioritize architectural complexity over interpretability. Architectural complexity creates operational barriers for deployment in decision-support sys...
Chairote Yaiprasert, Natthanan Na Prasit, Achmad Nizar Hidayanto
· Applied Computing and Inform... · 0 citations