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Can we predict when to start renal replacement therapy in patients with chronic kidney disease using 6 months of clinical data?

Min-Jeong LeeJoo-Han ParkYeo Rae MoonSoo-Yeon JoDukyong YoonRae Woong ParkJong Cheol JeongInwhee ParkGyu-Tae ShinHeungsoo Kim
Published in: PloS one (2018)
We created a prediction model according to CKD stages by using integral means. Based on the results of the Brier score (BS) and Harrel's C statistics, we consider that our model has significant explanatory power to predict the probability and interval time to the initiation of RRT.
Keyphrases
  • acute kidney injury
  • chronic kidney disease
  • electronic health record
  • big data
  • machine learning
  • data analysis