[HTML][HTML] Machine learning for causal inference in biological networks: perspectives of this challenge
P Lecca - Frontiers in Bioinformatics, 2021 - frontiersin.org
Most machine learning-based methods predict outcomes rather than understanding
causality. Machine learning methods have been proved to be efficient in finding correlations …
causality. Machine learning methods have been proved to be efficient in finding correlations …
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation
To enhance therapeutic outcomes from a pharmacological perspective, we propose
MiranDa, designed for medication recommendation, which is the first actionable model …
MiranDa, designed for medication recommendation, which is the first actionable model …