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Applying unsupervised machine learning approaches to characterize autologous breast reconstruction patient subgroups: an NSQIP analysis of 14,274 patients

Dylan K Kim, George S. Corpuz, Casey Ta, Chunhua Weng, Christine H. Rohde

2023Journal of Plastic Reconstructive & Aesthetic Surgery10 citationsDOIOpen Access PDF

Topics & Concepts

MedicineCohortBreast reconstructionCluster analysisRetrospective cohort studyPopulationSurgeryMachine learningArtificial intelligenceBreast cancerInternal medicineComputer scienceCancerEnvironmental healthReconstructive Surgery and Microvascular TechniquesBreast Implant and ReconstructionSurgical site infection prevention
Applying unsupervised machine learning approaches to characterize autologous breast reconstruction patient subgroups: an NSQIP analysis of 14,274 patients | Litcius