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Machine learning for predicting CKD stages in patients with autosomal dominant polycystic kidney disease: a nationwide cohort study in Japan — Europe PMC PMID:41688559

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41688559
DOI: 10.1038/s41598-[numero omesso]-7
License (as archived): solo-consultazione
Archived: 2026-11-05T20:23:18.713Z
SHA-256 of the archived text: 5811e21650c9c4a5855cba17f0a7feb349e708d54caf9989c47c1fc61311b4b5
Stable URL of this page: https://metraipolis.com/documento/dc_73eb50cb23fc

How to cite

Machine learning for predicting CKD stages in patients with autosomal dominant polycystic kidney disease: a nationwide cohort study in Japan — Europe PMC PMID:41688559 — Europe PMC (en), https://europepmc.org/article/MED/41688559 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_73eb50cb23fc (Metraipolis archive dc_73eb50cb23fc, sha256 5811e21650c9c4a5855cba17f0a7feb349e708d54caf9989c47c1fc61311b4b5)

BibTeX

@misc{dc73eb50cb23fc,
  title = {Machine learning for predicting CKD stages in patients with autosomal dominant polycystic kidney disease: a nationwide cohort study in Japan — Europe PMC PMID:41688559},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41688559},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_73eb50cb23fc; sha256 5811e21650c9c4a5855cba17f0a7feb349e708d54caf9989c47c1fc61311b4b5},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41688559. Agents can read the archived copy with the MCP tool read_document.