Name
Title | ||
|---|---|---|
The impact of artificial intelligence and big data on end-stage kidney disease treatments |
Abstract | ||
|---|---|---|
•Narrative review of machine learning methods used on end-stage kidney disease.•Techniques to predict survival in kidney transplantation and dialysis therapy.•Models used to analyze the incidence of infection or tacrolimus toxicity.•Algorithms used to analyze other dialysis variables to predict mortality. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115076 | Expert Systems with Applications |
Keywords | DocType | Volume |
Artificial intelligence,Machine learning,Big data,End-stage renal disease,Kidney transplantation,Dialysis | Journal | 180 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Covadonga Díez-Sanmartín | 1 | 0 | 0.34 |
| Antonio Sarasa Cabezuelo | 2 | 22 | 14.82 |
| Amado Andrés Belmonte | 3 | 0 | 0.34 |