Lee JH, et al. J Cardiovasc Imaging. 2018 Aug;26:e11. https://doi.org/10.4250/jcvi.2018.26.e11

Kim MS, et al. Korean Circ J. 2017 Sep;47(5):555-643. https://doi.org/10.4070/kcj.2017.0009

Sun BJ, et al. J Cardiovasc Imaging. 2019 Sep;28:e42. https://doi.org/10.4250/jcvi.2020.0043

We propose a nonparametric Bayesian local clustering (NoB-LoC) approach for heterogeneous data. NoB-LoC implements inference for nested clusters as posterior inference under a Bayesian model. Using protein expression data as an example, the NoB-LoC model defines a protein (column) cluster as a set of proteins that give rise to the same partition of the samples (rows). In other words, the sample partitions are nested within protein clusters. The common clustering of the samples gives meaning to the protein clusters. Any pair of samples might belong to the same cluster for one protein set but to different clusters for another protein set. These local features are different from features obtained by global clustering approaches such as hierarchical clustering, which create only one partition of samples that applies for all the proteins in the dataset. In addition, the NoB-LoC model is different from most other local or nested clustering methods, which define clusters based on common parameters in the sampling model. As an added and important feature, the NoB-LoC method probabilistically excludes sets of irrelevant proteins and samples that do not meaningfully cocluster with other proteins and samples, thus improving the inference on the clustering of the remaining proteins and samples. Inference is guided by a joint probability model for all the random elements. We provide a simulation study and a motivating example to demonstrate the unique features of the NoB-LoC model. Supplementary materials for this article are available online.

The prevalence of heart failure (HF) is on the rise due to the aging of society. Furthermore, the continuous progress and widespread adoption of screening and diagnostic strategies have led to an increase in the detection rate of HF, effectively increasing the number of patients requiring monitoring and treatment. Because HF is associated with substantial rates of mortality and morbidity, as well as high socioeconomic burden, there is an increasing need for developing specific guidelines for HF management. The Korean guidelines for the diagnosis and management of chronic HF were introduced in March 2016. However, chronic and acute heart failure (AHF) represent distinct disease entities. Here, we introduce the Korean guidelines for the management of AHF with reduced or preserved ejection fraction. Part I of this guideline covers the definition, epidemiology, and diagnosis of AHF.

Korean Circulation Journal 대한심장학회지 순환기 Lee JH, et al. Korean Circ J. 2022 Sep;52(9):659-679. https://doi.org/10.4070/kcj.2022.0211