Procedural computable phenotypes are specific clinical traits or conditions that can be derived from medical procedures, interventions, or treatments, and are represented in a format that is computationally usable for research or clinical purposes. These phenotypes are generated based on procedural data, such as the type of procedure performed, the outcome of that procedure, or how the procedure is linked to certain conditions or risk factors.
In essence, procedure phenotypes translate clinical procedures into standardized, measurable data that can be used for analyzing patient outcomes, predicting risks, and improving personalized healthcare. These phenotypes help researchers and clinicians better understand how different procedures and interventions impact patient health.
