Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning

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Publication Details

Journal
BMC Nephrology
Published
2024-10-19
DOI
https://doi.org/10.1186/s12882-024-03809-2
Citations
8
Primary Topic
Potassium and Related Disorders
Type
article
Field-Weighted Citation Impact
3.35

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article

Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning

Jürgen Floege, Jeffrey L. Hymes, Manuela Stauss‐Grabo, Anke Winter et al.
8 citations
BMC Nephrology
Potassium and Related Disorders
3.35
article

Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning

Jürgen Floege, Jeffrey L. Hymes, Manuela Stauss‐Grabo, Anke Winter, Peter Stenvinkel, Len A. Usvyat, Joanna Willetts, John W. Larkin, Sheetal Chaudhuri, Suman Lama, Franklin W. Maddux, Yue Jiao, David C. Wheeler
article en
8 citations

Abstract

No abstract available for this paper.
BMC NephrologyVol. 25(1)
Karolinska University Hospital (SE), Fresenius Medical Care (United States) (US), Fresenius Medical Care North America (United States) (US), University College London (GB), RWTH Aachen University (DE), Fresenius Medical Care (Germany) (DE)
Fresenius Medical Care North America
Good health and well-being
Openalex Percentile: Top 7%
Potassium and Related Disorders
3.35
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Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning — Jürgen Floege, Jeffrey L. Hymes, et al. · BMC Nephrology (2024) | TGRS Research Map | TGRS