Abstract: Depression is affected by many medical conditions, and in turn, can also affect certain medical conditions. To better understand the complex relationships accounting for potential confounders, we compared the network of chronic conditions predisposing to major depressive disorder cases to the matched pair samples of the general population from Korean National Health Information Database.

Learning Objective 1: To apply a network-theoretic analysis to a population-based clinical dataset with a matched pair sampling design, adjusting for potential confounders.

Learning Objective 2 (Optional): To better understand the complex relationships between multiple chronic conditions predisposing to depression.


Min-hyung Kim (Presenter)
Weill Cornell Medicine

Samprit Banerjee, Weill Cornell Medicine
Yize Zhao, Weill Cornell Medicine
Fei Wang, Weill Cornell Medicine
Yiye Zhang, Weill Cornell Medicine
Yongjun Zhu, Weill Cornell Medicine
Joseph DeFerio, Weill Cornell Medicine
Sang Min Park, Seoul National University College of Medicine
Jyotishman Pathak, Weill Cornell Medicine

Presentation Materials: