Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1364-8535
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy ; volume:24 ; number:1 ; day:6 ; month:2 ; year:2020 ; pages:1-9 ; date:12.2020
Critical care ; 24, Heft 1 (6.2.2020), 1-9, 12.2020
- Creator
-
Kang, Min Woo
Kim, Jayoun
Kim, Dong Ki
Oh, Kook-Hwan
Joo, Kwon Wook
Kim, Yon Su
Han, Seung Seok
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13054-020-2752-7
- URN
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urn:nbn:de:101:1-2020050806505936338100
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:55 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kang, Min Woo
- Kim, Jayoun
- Kim, Dong Ki
- Oh, Kook-Hwan
- Joo, Kwon Wook
- Kim, Yon Su
- Han, Seung Seok
- SpringerLink (Online service)
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Risk factors of hemodialysis catheter dysfunction in patients undergoing continuous renal replacement therapy: a retrospective study
Imipenem dosing recommendations for patients undergoing continuous renal replacement therapy: systematic review and Monte Carlo simulations
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Target value of mean arterial pressure in patients undergoing continuous renal replacement therapy due to acute kidney injury
Revised algorithm for heparin anticoagulation during continuous renal replacement therapy
The furosemide stress test to predict renal function after continuous renal replacement therapy
Risk factors for mortality in patients undergoing continuous renal replacement therapy after cardiac surgery
Albumin levels predict mortality in sepsis patients with acute kidney injury undergoing continuous renal replacement therapy: a secondary analysis based on a retrospective cohort study
Dysnatremia, its correction, and mortality in patients undergoing continuous renal replacement therapy: a prospective observational study
Risk factors of hemodialysis catheter dysfunction in patients undergoing continuous renal replacement therapy: a retrospective study
Imipenem dosing recommendations for patients undergoing continuous renal replacement therapy: systematic review and Monte Carlo simulations
Hyperlactatemia is a predictor of mortality in patients undergoing continuous renal replacement therapy for acute kidney injury
Continuous suture technique in aortic valve replacement
Micronutrient Losses during Continuous Renal Replacement Therapy
Dosing adjuvant vitamin C in critically ill patients undergoing continuous renal replacement therapy: We are not there yet!
Target value of mean arterial pressure in patients undergoing continuous renal replacement therapy due to acute kidney injury
Revised algorithm for heparin anticoagulation during continuous renal replacement therapy
The furosemide stress test to predict renal function after continuous renal replacement therapy
Risk factors for mortality in patients undergoing continuous renal replacement therapy after cardiac surgery
Albumin levels predict mortality in sepsis patients with acute kidney injury undergoing continuous renal replacement therapy: a secondary analysis based on a retrospective cohort study
Dysnatremia, its correction, and mortality in patients undergoing continuous renal replacement therapy: a prospective observational study
Risk factors of hemodialysis catheter dysfunction in patients undergoing continuous renal replacement therapy: a retrospective study
Imipenem dosing recommendations for patients undergoing continuous renal replacement therapy: systematic review and Monte Carlo simulations
Hyperlactatemia is a predictor of mortality in patients undergoing continuous renal replacement therapy for acute kidney injury
Continuous suture technique in aortic valve replacement
Micronutrient Losses during Continuous Renal Replacement Therapy
Dosing adjuvant vitamin C in critically ill patients undergoing continuous renal replacement therapy: We are not there yet!