Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach-Reference-Cited by-同舟云学术

Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach

Published:2022-06 Issue: Volume:221 Page:106862
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Camerlingo N.,Vettoretti M.,Del Favero S.,Facchinetti A.,Choudhary P.,Sparacino G.^ORCID

Funder

European Commission

Juvenile Diabetes Research Foundation United States of America

Innovative Medicines Initiative

European Federation of Pharmaceutical Industries and Associations

Leona M. and Harry B. Helmsley Charitable Trust

International Diabetes Federation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference50 articles.

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4. silico clinical trials: concepts and early adoptions;Pappalardo;Brief. Bioinform.,2019

5. A real-time continuous glucose monitoring-based algorithm to trigger hypotreatments to prevent/mitigate hypoglycemic events;Camerlingo;Diabetes Technol. Ther.,2019

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1. Corrigendum to “Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach”;Computer Methods and Programs in Biomedicine;2024-07

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