Graph Data Science and ML for Better Healthcare Outcomes

Healthcare today relies on data science and machine learning (ML) to analyze the huge wealth of data for better insights and outcomes. To enhance conventional data science, graph data science organizes data as a network, to analyze relationships more efficiently and deeply. Patterns and dependencies that would have gone unnoticed are revealed through graph-based analysis. This presentation shows 3 ways that graph data science and graph-based ML provide greater insights and better AI models, leading to improved healthcare from drug interaction analysis to dynamic recommendations for patient treatment.