Development and validation of predictive models for the hemodialysis adequacy index (Kt/V) using multiple linear regression and machine learning algorithms.
Overview & Synopsis
Open access biomedical research article published in Front Digit Health.
Indexed from repository: PubMed Central
(
pmc.ncbi.nlm.nih.gov)
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Document Information
| Document Title | Development and validation of predictive models for the hemodialysis adequacy index (Kt/V) using multiple linear regression and machine learning algorithms. |
|---|---|
| Author / Organization | Li LL, Xu RF, Huang LL, Lu BR, Zhang ST, Tuo Y, Liu HQ, Ren R, Wang SF, Sun MX, Zhang XT, Zhao JR, Yu L, Meng Y |
| Subject & Discipline | Front Digit Health |
| Categories | Medicine & Health |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
PubMed Central
(pmc.ncbi.nlm.nih.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-116750 |
| Original Source Link | Visit Source Page on pmc.ncbi.nlm.nih.gov » |