Nalaganje...
Comparison of Prediction Models for Acute Kidney Injury Among Patients with Hepatobiliary Malignancies Based on XGBoost and LASSO-Logistic Algorithms
BACKGROUND: Based on the admission data, we applied the XGBoost algorithm to create a prediction model to estimate the AKI risk in patients with hepatobiliary malignancies and then compare its prediction capacity with the logistic model. METHODS: We reviewed clinical data of 7968 and 589 liver/gallb...
Shranjeno v:
| izdano v: | Int J Gen Med |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Dove
2021
|
| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8057825/ https://ncbi.nlm.nih.gov/pubmed/33889012 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/IJGM.S302795 |
| Oznake: |
Označite
Brez oznak, prvi označite!
|