About

CEDARS was created out of a need to more efficiently annotate patient datasets for clinical events. The initial application was for the assessment of a venous thromboembolism endpoint in a cohort of patients with cancer, however early on we decided to develop this software platform as a general purpose tool aimed at a broad array of clinical endpoints. The original implementation was in R programming language but more recently the code base was ported to Python. CEDARS is under development at Memorial Sloan Kettering Cancer Center (MSKCC).

The package authors include:

• Simon Mantha, MD, MPH: project lead, clinical hematologist by training
• Rohan Singh, MS: principal data scientist
• Kayan Irani: collaborator