Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem-Reference-Cited by-同舟云学术

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Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem

Published:2023-10 Issue: Volume:240 Page:107633
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Benyó Balázs^ORCID,Paláncz Béla,Szlávecz Ákos,Szabó Bálint,Kovács Katalin^ORCID,Chase J. Geoffrey^ORCID

Funder

EU Framework Programme for Research and Innovation Marie Skłodowska-Curie Actions

National Research Development and Innovation Office

National Research, Development and Innovation Office

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference50 articles.

1. Stress-induced hyperglycemia;McCowen;Crit. Care Clin.,2001

2. Glucose variability and mortality in patients with sepsis;Ali;Crit. Care Med.,2008

3. Intensive insulin therapy in the critically ill patients;Van den Berghe;N. Engl. J. Med.,2001

4. Effect of an intensive glucose management protocol on the mortality of critically ill adult patients;Krinsley;Mayo Clin Proc.,2004

5. Intensive insulin protocol improves glucose control and is associated with a reduction in intensive care unit mortality;Reed;J. Am. Coll. Surg.,2007

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