Title: Impact of multimorbidity profiles om mortality rates and sepsis: A network approach
Speaker: Jorge Gaete Villegas
In this talk I will present the use of the Stochastic Block Model (SBM) as an alternative to clustering techniques to study the impact of multimorbidity on in-hospital sepsis and mortality. The SBM is an approach to community detection that can be used instead of classic clustering techniques such as k-means or Latent Class Analysis (LCA) to identify groups of patients. Since the SBM is a nonparametrical method and makes no assumptions about the features distribution, its application overcomes some of the known limitations of other clustering algorithms. As an added benefit, the SBM provides clusters at different resolutions in a hierarchical structure with potential uses to increase explainability of the results.