A Machine Learning Model for Week-Ahead Hypoglycemia Prediction From Continuous Glucose Monitoring Data.

Saved in:
Bibliographic Details
Title: A Machine Learning Model for Week-Ahead Hypoglycemia Prediction From Continuous Glucose Monitoring Data.
Authors: Giammarino F; Independent Researcher, Spoltore, PE, Italy., Senanayake R; Department of Computer Science, Stanford University, Stanford, CA, USA., Prahalad P; Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA.; Stanford Children's Health, Lucile Packard Children's Hospital, Stanford, CA, USA.; Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA., Maahs DM; Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA.; Stanford Children's Health, Lucile Packard Children's Hospital, Stanford, CA, USA.; Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA., Scheinker D; Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA.; Stanford Children's Health, Lucile Packard Children's Hospital, Stanford, CA, USA.; Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA.; Department of Management Science and Engineering, School of Engineering, Stanford University, Stanford, CA, USA.; Clinical Excellence Research Center, School of Medicine, Stanford University, Stanford, CA, USA.
Source: Journal of diabetes science and technology [J Diabetes Sci Technol] 2025 Sep; Vol. 19 (5), pp. 1353-1361. Date of Electronic Publication: 2024 Mar 06.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 101306166 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-2968 (Electronic) Linking ISSN: 19322968 NLM ISO Abbreviation: J Diabetes Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1932-2968
DOI:10.1177/19322968241236208