Development of an Artificial Intelligence Model to Guide the Management of Blood Pressure, Fluid Volume, and Dialysis Dose in End-Stage Kidney Disease Patients: Proof of Concept and First Clinical Assessment-Reference-Cited by-同舟云学术

Development of an Artificial Intelligence Model to Guide the Management of Blood Pressure, Fluid Volume, and Dialysis Dose in End-Stage Kidney Disease Patients: Proof of Concept and First Clinical Assessment

Published:2018-11-07 Issue:1 Volume:5 Page:28-33
ISSN:2296-9381
Container-title:Kidney Diseases
language:en
Short-container-title:Kidney Dis

Author:

Barbieri Carlo,Cattinelli Isabella,Neri Luca,Mari Flavio,Ramos Rosa,Brancaccio Diego,Canaud Bernard,Stuard Stefano

Publisher

S. Karger AG

Subject

Materials Chemistry

Reference9 articles.

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2. Salem MM. Hypertension in the hemodialysis population: a survey of 649 patients. Am J Kidney Dis. 1995 Sep;26(3):461–8.

3. Davenport A, Cox C, Thuraisingham R. Achieving blood pressure targets during dialysis improves control but increases intradialytic hypotension. Kidney Int. 2008 Mar;73(6):759–64.

4. Zoccali C, Tripepi G, Mallamaci F, Panuccio V. The heart rate response pattern to dialysis hypotension in haemodialysis patients. Nephrol Dial Transplant. 1997 Mar;12(3):519–23.

5. Chou JA, Streja E, Nguyen DV, Rhee CM, Obi Y, Inrig JK, et al. Intradialytic hypotension, blood pressure changes and mortality risk in incident hemodialysis patients. Nephrol Dial Transplant. 2018 Jan;33(1):149–59.

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