A Gaussian Process Model for Insulin Secretion Reconstruction with Uncertainty Quantification: Applications in Cystic Fibrosis-Reference-Cited by-同舟云学术

A Gaussian Process Model for Insulin Secretion Reconstruction with Uncertainty Quantification: Applications in Cystic Fibrosis

Published:2023-04-28 Issue: Volume: Page:S65-S81
ISSN:0036-1399
Container-title:SIAM Journal on Applied Mathematics
language:en
Short-container-title:SIAM J. Appl. Math.

Author:

Garrish Justin¹,Chan Christine²,Nychka Douglas¹,Diniz Behn Cecilia¹²^ORCID

Affiliation:

1. Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO 80401 USA.

2. Department of Pediatrics, Section of Endocrinology, Children’s Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO 80045 USA.

Funder

REDCap

Colorado Clinical and Translational Sciences Institute

Cystic Fibrosis Foundation

National Institute of Diabetes and Digestive and Kidney Diseases

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics

Reference26 articles.

1. Inferring Insulin Secretion Rate from Sparse Patient Glucose and Insulin Measures

2. Identification of insulin secretory defects and insulin resistance during oral glucose tolerance test in a cohort of cystic fibrosis patients

3. Nonparametric input estimation in physiological systems: Problems, methods, and case studies

4. The Relationship Between Continuous Glucose Monitoring and OGTT in Youth and Young Adults With Cystic Fibrosis

5. The Oral Minimal Model Method

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