External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data

Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani. SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data. Patterns, 3(4):100453, 2022. [doi]

Authors

Takoua Khorchani

This author has not been identified. Look up 'Takoua Khorchani' in Google

Yojana Gadiya

This author has not been identified. Look up 'Yojana Gadiya' in Google

Gesa Witt

This author has not been identified. Look up 'Gesa Witt' in Google

Delia Lanzillotta

This author has not been identified. Look up 'Delia Lanzillotta' in Google

Carsten Claussen

This author has not been identified. Look up 'Carsten Claussen' in Google

Andrea Zaliani

This author has not been identified. Look up 'Andrea Zaliani' in Google
runs on