Biomedical Signal Processing and Control· 2017Q1
Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation
- 367citations
- Q1SCImago
- 2017year
Short summary
Decision Tree (DT) and Random Forest (RF) models accurately predicted early kidney transplant rejection with 85% accuracy using a small dataset (n=80), identifying donor-specific IgG antibodies, IgG4 subclass levels, and HLA mismatches as key risk factors.
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TransplantationMedicine