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"SASC: A simple approach to synthetic cohorts for generating longitudinal ..."

Takoua Khorchani et al. (2022)

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DOI: 10.1016/J.PATTER.2022.100453

access: open

type: Journal Article

metadata version: 2022-05-18

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  - journals/patterns/KhorchaniGWLCZ22
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  - https://dblp.org/rec/journals/patterns/KhorchaniGWLCZ22
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)

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