Longitudinal data in electronic health records could be used to improve definitions of patient clusters and therefore inform precision medicine interventions. Here, the authors introduce VaDeSC-EHR, a machine learning model that uses patient longitudinal trajectories and time-to-event data to define clusters.
- Jiajun Qiu
- Yao Hu
- Johann de Jong
