Development and internal validation of a clinical prediction model for hemodialysis-related headache using LASSO and Boruta feature selection
Benyin Yuan, Haiyan Xue, Junjie You, Huaxing Huang · 2026
Read Development and internal validation of a clinical prediction model for hemodialysis-related headache using LASSO and Boruta feature selection by Benyin Yuan, Haiyan Xue, Junjie You, Huaxing Huang (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-13483194.txt.
Description
Yuan and co-authors built a scoring chart to predict which dialysis patients will develop headaches during treatment. Such headaches can force sessions to stop early and make patients dread returning. Their 2026 study reviewed 289 kidney-failure patients on regular hemodialysis at one Chinese hospital, splitting them into a group for building the model and a smaller group for checking it. Two selection methods narrowed dozens of candidate clues down to six.
The final predictors were sex, age, weight, pulse pressure change, and blood sodium and phosphorus levels. The chart discriminated well, scoring high on accuracy tests in both the building group and the check group of patients. Its risk estimates also matched observed headache rates closely. Yuan says the tool can flag vulnerable patients early, though hospitals elsewhere should validate it before relying on it.
Catalog record
| CREATOR | Benyin Yuan, Haiyan Xue, Junjie You, Huaxing Huang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |