SSEM (Syndemic and Syndemogenesis Elements Modeler) is a C++, Python and CUDA (Compute Unified Device Architecture) program that is used to do syndemic and syndemogenesis network and statistical analysis in medicine. SSEM was developed as a collaboration between the Universidad Nacional Autónoma de México, he Latin American Study Group of Rheumatic Diseases in Indigenous Peoples (GLADERPO) and the Colegio Mexicano de Reumatología A.C
The basics of data, big data, and machine learning in clinical
practice
Clinical Rheumatology
2020 | journal-article
DOI: 10.1007/s10067-020-05196-z
Syndemic and syndemogenesis of low back pain in Latin-American
population: a network and cluster analysis
Clinical Rheumatology
2020 | journal-article
DOI: 110.1007/S10067-020-05047-X
Epidemiology and socioeconomic impact of the rheumatic diseases on
indigenous people: An invisible syndemic public health problem
Annals of the Rheumatic Diseases
2018 | journal-article
DOI: 10.1136/annrheumdis-2018-213625
| Multi level correlations |
| Quantification values of models |
| Network relation between subjects |
| Network relations between variables |
| Traditional statistical values |
| Categorical representation of the data |