HIGHLIGHTS
- who: Patrick Heindel from the is superior to Kidney Disease Outcome Quality Initiative and University of have published the paper: Predicting radiocephalic arteriovenous fistula success with machine learning, in the Journal: (JOURNAL) of 01,/07/2014
- what: The work confirms and extends the findings of prior studies, perhaps most notably those of the HFM study, a multi-institution prospective observational cohort study concerned with better understanding AVF maturation13. This study has some key strengths which should be highlighted.
- how: Paired data were compared using paired t-tests. Modeling overview To achieve the goal . . .
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