← brief for 2026-09-10 · People & money

Explainable Machine Learning for Chronic Kidney Disease Classification from Routine Urinalysis and Diabetes Records

Key takeaways

Researchers built a computer model that flags chronic kidney disease using routine urine tests and diabetes records. The model is designed to show which factors drove each prediction, instead of being a black box. This is a preprint, meaning no other scientists have checked it yet, and it is a pattern-finding study on existing records. It suggests a screening tool, not proof that it helps patients.

Who did this work

Muhsina Tarannum Munfa · G.M.M Miftahul Alam Adib (Shahjalal University of Science and Technology) · Md Sultanul Islam Ovi (George Mason University)

Source

Paper · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-09-09
https://doi.org/10.21203/rs.3.rs-10968179/v1