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The prediction of all-cause mortality in end-stage kidney disease patients using social determinants of health: A machine learning framework.

Key takeaways

Researchers built a computer model to predict which people with kidney failure (end-stage kidney disease, when the kidneys can no longer work on their own) will die during follow-up. It combined medical facts with life circumstances like income, housing and access to care, which doctors call social determinants of health. The data came from the United States Renal Data System, a national registry. The abstract we received was cut off before the results, so we cannot report how accurate the model was. This kind of study shows links, not proof of cause.

Who did this work

Smith A · Donelan M · Rekabdarkolaee HM · Brooks P · Varilek BM · Ngorsuraches S · Schrier J · Dell A · Michael S

Source

Article · PubMed, CKD severity and reversal · 2026 Jun 19
https://pubmed.ncbi.nlm.nih.gov/42746601/