A machine learning-based prediction model for rapid glomerular filtration rate decline in patients with chronic kidney disease by using a big database

A machine learning-based prediction model for rapid glomerular filtration rate decline in patients with chronic kidney disease by using a big database - A machine learning-based prediction model for rapid glomerular filtration rate decline in patients with chronic kidney disease

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000037476

Enrollment

20000

Registered

2019-08-01

Start date

2019-08-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

chronic kidney disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: CKD patients whose medical records ware available

Exclusion criteria

Exclusion criteria: nothing

Design outcomes

Primary

Measure	Time frame
speed of eGFR decline	—

Countries

Japan

Contacts

Public ContactDaijo Inaguma

Fujita Health University School of Medicine Nephrology

daijo@fujita-hu.ac.jp0562-93-9245

Outcome results