Distinct clinical profiles and post-transplant outcomes among kidney transplant recipients with lower education levels: uncovering patterns through machine learning clustering.
Charat ThongprayoonJing MiaoCaroline JadlowiecShennen A MaoMichael MaoNapat LeeaphornWisit KaewputPattharawin PattharanitimaOscar A Garcia ValenciaSupawit TangpanithandeePajaree KrisanapanSupawadee SuppadungsukPitchaphon NissaisorakarnMatthew CooperWisit CheungpasitpornPublished in: Renal failure (2023)
Through unsupervised machine learning, this study proficiently categorized kidney recipients with lesser education into four distinct clusters. Notably, the standout performance of Cluster 2 provides invaluable insights, underscoring the necessity for adept risk assessment and tailored transplant strategies, potentially elevating care standards for this patient cohort.