Ontology highlight
ABSTRACT: Objectives
Structured real-world data (RWD), such as those found in cancer registries, provide a rich source of information regarding the natural history of cancer. Interactive data visualizations of cancer lesions can provide insights into certain clinical tumor characteristics (CTC). Software that can be integrated into an oncological data collection effort and generate anatomical data visualizations of CTC are limited.Materials and methods
We created BodyMapR: an R package and Shiny application that generates anatomical visualizations of cancer lesions from structured data.Results
BodyMapR is a Shiny application that transposes structured data from REDCap® onto an anatomical map to yield an interactive data visualization.Conclusions
BodyMapR is
SUBMITTER: Miller DM
PROVIDER: S-EPMC8903180 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature