DERIVATION AND VALIDATION OF A MACHINE LEARNING MODEL FOR THE PREVENTION OF UNPLANNED DIALYSIS.
Martin M KlamrowskiRan KleinChristopher McCuddenJames Robert GreenBabak RashidiChristine A WhiteMatthew J OliverAmber O MolnarCedric EdwardsTim RamsayAyub AkbariGregory L HundemerPublished in: Clinical journal of the American Society of Nephrology : CJASN (2024)
These machine-learning models using routinely collected patient data accurately predict near-future kidney failure risk among the advanced CKD population, and retrospectively deliver advanced warning on a substantial proportion of unplanned dialysis events. Optimal implementation strategies still need to be elucidated.