ABOUT
Data from HuDiNe (Hidalgo et al.) for the analysis of comorbidities
Processed hospital claims data from Hidalgo et al. [1]. For each pair of diagnosis (represented as ICD9 codes at three and five digit level), the number of occurrences across claim records as well as the assocaited statistics such as Relative Risk, confidence interval, P-value and adjusted P-value. The files were downloaded from HuDiNe and used for several works such as Rubio-Perez et al. [2] and Aguirre-Plans et al. [3] as well as many others (see related work below).
References
- [1] Hidalgo et al. A Dynamic Network Approach for the Study of Human Phenotypes. link
- [2] Rubio-Perez et al. Genetic and functional characterization of disease associations explains comorbidity. link
- [3] Aguirre-Plans et al. Proximal Pathway Enrichment Analysis for Targeting Comorbid Diseases via Network Endopharmacology. link
Related work
- Menche et al. Uncovering disease-disease relationships through the incomplete interactome. link
- Zhou et al. Human symptoms–disease network. link
- Ko et al. Identification of disease comorbidity through hidden molecular mechanisms link
- Chen and Xu. Network Analysis of Human Disease Comorbidity Patterns Based on Large-Scale Data Mining link
- Marx et al. Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression link
- Zitnik et al. Discovering disease-disease associations by fusing systems-level molecular data. link
- Duran-Frigola et al. A chemo-centric view of human health and disease. link
- Bang et al. Causality modeling for directed disease network. link
- Sun et al. Predicting disease associations via biological network analysis. link
- Davis and Chawla. Exploring and Exploiting Disease Interactions from Multi-Relational Gene and Phenotype Networks. link
- Park et al. Evolutionary history of human disease genes reveals phenotypic connections and comorbidity among genetic diseases. link
- Moni et al. CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks. link
- Gutierrez-Sacristan et al. comoRbidity: an R package for the systematic analysis of disease comorbidities. link