Machine‐learning prediction of urine‐culture positivity in a multicentre test‐ordered cohort: Model development and internal validation
Isaac Samir Wasfy, Jamal Ahmad, Hany Elsegeay, Mohamed F Elebiary, Ahmed Haty, Eman M El‐Dydamony, Ahmed Mohamed Soliman, Ahmed Alrefaey, Hesham Abozied, Mohamed Algammal, Hossam A Shouman, Maha M Elzamek, Ahmed Abdel Galil Saleh, Ahmed Fetyan Abdelazim Shafi, Osama Mostafa Abdalla Mohamed · 2026
Read Machine‐learning prediction of urine‐culture positivity in a multicentre test‐ordered cohort: Model development and internal validation by Isaac Samir Wasfy, Jamal Ahmad, Hany Elsegeay, Mohamed F Elebiary, Ahmed Haty, Eman M El‐Dydamony, Ahmed Mohamed Soliman, Ahmed Alrefaey, Hesham Abozied, Mohamed Algammal, Hossam A Shouman, Maha M Elzamek, Ahmed Abdel Galil Saleh, Ahmed Fetyan Abdelazim Shafi, Osama Mostafa Abdalla Mohamed (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13552025.txt.
Description
Isaac Samir Wasfy and a large team of co-authors trained machine learning models in 2026 to guess whether a urine culture will come back positive. Culture results take one to three days, leaving early care in doubt. Their records came from three university hospitals and held 2,530 samples with both quick urine tests and cultures.
Thirteen methods were compared on a held-out share of the data. Several boosting methods scored alike, with the best reaching a strong mark. At the chosen cutoff, the top model caught about six in ten positives while clearing most negatives correctly. Score bands split samples into groups with plainly different hit rates. The authors are careful: a positive culture is not the same as a true infection. They call for outside tests tied to patient outcomes before any clinic use.
Catalog record
| CREATOR | Isaac Samir Wasfy, Jamal Ahmad, Hany Elsegeay, Mohamed F Elebiary, Ahmed Haty, Eman M El‐Dydamony, Ahmed Mohamed Soliman, Ahmed Alrefaey, Hesham Abozied, Mohamed Algammal, Hossam A Shouman, Maha M Elzamek, Ahmed Abdel Galil Saleh, Ahmed Fetyan Abdelazim Shafi, Osama Mostafa Abdalla Mohamed |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 52 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |