Early detection of bladder cancer offers significant benefits for patient outcomes and treatment options.
The PRECISE-AGZ pipeline successfully pinpointed essential clinical signals from electronic health records, enhancing detection accuracy.
Assessment of advanced feature engineering combined with swarm intelligence optimization revealed critical insights for cancer screening.
These findings highlight the importance of employing EHRs in optimizing population-based screening strategies for bladder cancer.
Abstract
The PRECISE-AGZ pipeline efficiently identified clinical signals from EHRs for early BC detection, offering promising potential for implementing population-based BC screening.