CRS4

Mapping OHDSI OMOP Common Data Model and GA4GH Phenopackets for COVID-19 disease epidemics and analytics

Núria Queralt Rosinach, Pablo Alarcón Moreno, Tiffany Callahan, Giovanni Delussu, Charlotte Fraboulet, Jules Jacobsen, Leyla Jael Castro, Rajaram Kaliyaperumal, Maxat Kulmanov, Peter Robinson, Venkata Satagopam, Anastasios Siapos, Vasundra Touré, Danielle Welter
biohackrxiv - november 2022

Références BibTex

@Article{QACDFJCKKRSSTW22a,
  author       = {Queralt Rosinach, N. and Alarcón Moreno, P. and Callahan, T. and Delussu, G. and Fraboulet, C. and Jacobsen, J. and Castro, L. and Kaliyaperumal, R. and Kulmanov, M. and Robinson, P. and Satagopam, V. and Siapos, A. and Touré, V. and Welter, D.},
  title        = {Mapping OHDSI OMOP Common Data Model and GA4GH Phenopackets for COVID-19 disease epidemics and analytics},
  journal      = {biohackrxiv},
  month        = {november},
  year         = {2022},
  keywords     = {omop,phenopackets,FAIR,ML},
  doi          = {10.37044/osf.io/ep3xh},
  url          = {https://publications.crs4.it/pubdocs/2022/QACDFJCKKRSSTW22a},
}

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