The use of machine learning algorithms and the mass spectrometry lipidomic profile of serum for the evaluation of tacrolimus exposure and toxicity in kidney transplant recipients

HIGHLIGHTS

SUMMARY

Wedefined definedthe thepatients patientswith withoutranged outrangedTAC TAClevels levelsover over88ng/mL ng/mLasasthe theTAC TAChighhigh the authors levelgroup group(H-TAC) (H-TAC)and andthe thepatients patientswho whohad hadlow-level low-levelTAC TAC under under 55 ng/mL ng/mLasasthe theTAC TAC level low-level group (L-TAC). low-level group (L-TAC). To quantitatively evaluate the multivariate classification power yielded by the biochemical blood parameters and the 5 significant metabolites, 3 independent machine_learning algorithms (naive Bayes, logistic regression, and Random Forest) were trained to discriminate between the H-TAC and L-TAC groups. The . . .

 



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